Sökresultat för "Azure Machine Learning"

Infinity IT Consulting AB

Vill du arbeta med den senaste AI-tekniken och hjälpa företag att omsätta affärsbehov till innovativa lösningar? Vi på Infinity IT Consulting söker erfarna AI-utvecklare som vill arbeta som konsulter i spännande uppdrag hos våra kunder. Hos oss får du möjlighet att utveckla, implementera och vidareutveckla moderna AI-lösningar i varierande projekt där din kompetens gör verklig skillnad. Om rollen Som AI-utvecklare arbetar du nära både verksamhet och utvecklingsteam för att skapa intelligenta lösningar som effektiviserar processer och skapar affärsvärde. Uppdragen varierar beroende på kund och kan omfatta allt från generativ AI och RAG-lösningar till utveckling, integration och driftsättning av AI-modeller i både molnbaserade och lokala miljöer. Du får en central roll i att omsätta verksamhetsbehov till tekniska lösningar och bidra med din expertis genom hela utvecklingsprocessen – från idé och design till implementation och förvaltning. Exempel på arbetsuppgifter Designa, utveckla och implementera AI-lösningar hos våra kunder. Utveckla och optimera AI- och maskininlärningsmodeller med fokus på kvalitet, prestanda och skalbarhet. Bygga och vidareutveckla lösningar baserade på generativ AI och Retrieval-Augmented Generation (RAG). Driftsätta, övervaka och vidareutveckla AI-lösningar i produktionsmiljö. Omsätta verksamhetsbehov till tekniska lösningsförslag och ge teknisk rådgivning. Integrera AI-tjänster med befintliga system och plattformar. Bidra till utvecklingen av moderna AI-arkitekturer och arbetssätt. Samarbeta med utvecklare, arkitekter, verksamhet och andra intressenter genom hela leveransen. Vi söker dig som Har minst 3–5 års erfarenhet av professionell mjukvaruutveckling. Har praktisk erfarenhet av AI-utveckling och maskininlärning. Har erfarenhet av Retrieval-Augmented Generation (RAG) och generativa AI-lösningar. Har mycket goda kunskaper i Python. Har erfarenhet av Microsoft Azure och molnbaserade AI-tjänster. Har god förståelse för molninfrastruktur och moderna utvecklingsmiljöer. Är van att arbeta enligt agila arbetssätt. Är analytisk, lösningsorienterad och trivs i komplexa tekniska miljöer. Har god kommunikativ förmåga och kan samarbeta med både tekniska och verksamhetsnära intressenter. Kommunicerar obehindrat på svenska och engelska. Meriterande Erfarenhet av Model Context Protocol (MCP) server/client. Erfarenhet av MLOps och driftsättning av AI-lösningar. Erfarenhet av Azure AI Services, Azure Machine Learning eller liknande plattformar. Högskole- eller universitetsutbildning inom datavetenskap, AI, maskininlärning, data science, matematik eller motsvarande. Certifieringar inom AI, Azure eller molnteknik. Om Infinity IT Consulting Infinity IT Consulting är det personliga konsultbolaget där människorna står i fokus. Vi bygger långsiktiga relationer med både konsulter och kunder och tror på kvalitet, hållbarhet och ett nära samarbete över tid. Hos oss får du utvecklas i uppdrag som matchar din kompetens och dina ambitioner, samtidigt som du blir en del av ett engagerat team där kunskapsdelning, prestigelöshet och utveckling är en självklar del av vardagen. Ansökan Känns detta som något för dig? Skicka gärna in din ansökan redan idag

Piab AB

Position: Microsoft Dynamics 365 F&O and AI Developer Location: Danderyd, Sweden Department: Group IT Type: Full-Time, Permanent, On-site Experience: 5+ years of relevant technical work experience About Piab Group: At Piab Group we improve our customers' productivity, sustainability, and safety through evolving industrial automation and have done so since 1951. We believe in an automated world where no resources are wasted, and no humans are injured. With annual sales of ~3 billion SEK and more than 1200 employees, Piab is a global organization, serving customers in more than 100 countries from a vast network of subsidiaries and channel partners. Since 2018, Piab Group has been owned by Patricia Industries, part of Investor AB. What awaits you at our company Innovative Culture: Be part of a team that thrives on entrepreneurship and innovation. Global Impact: Work with a company that is a world leader in industrial automation. Global Presence: You will work in a truly global company with employees in more than 27 countries. Sustainable Vision: Contribute to an automated world, reducing resource waste and promoting safety. Professional Growth: Access opportunities for continuous learning and international career advancement. Diverse and Inclusive: Join a workplace that values diversity and fosters an inclusive environment. Stable fast-growing employer: As part of Patricia Industries and connected to the Wallenberg family, Piab Group benefits from strong support and a commitment to long-term growth and sustainability. Job Mission: Drive the design and development of Microsoft Dynamics 365 Finance & Operations solutions and AI-powered capabilities to support Piab’s global business processes, ensuring scalable, reliable and value-adding ERP and automation solutions. PREFERED COMPETENCIES Proven experience as a Dynamics 365 Finance & Operations Developer in large, complex ERP implementations (at least one major end-to-end project). Strong hands-on expertise in X++, Visual Studio, extensions, event handlers, data entities, OData/REST APIs, and SSRS/Power BI for D365 F&O. Solid understanding of AI/ML concepts and experience applying Azure OpenAI/LLM, Azure Machine Learning or AI Builder/Power Platform to real business scenarios. Experience working in international environments (Europe, US, Asia) and with both agile and waterfall project methodologies. KEY RESPONSIBILITIES: Design, develop and maintain customizations, extensions, integrations, data entities, batch jobs and reports in D365 F&O using X++ and Visual Studio, following Microsoft best practices and upgrade-safe patterns. Collaborate with functional consultants and business stakeholders to translate requirements into robust technical designs and high‑quality solutions across finance, supply chain, manufacturing and other core ERP processes. Identify, design and implement AI- and ML-based use cases (e.g. forecasting, anomaly detection, intelligent recommendations, automation) using tools such as Azure OpenAI/Copilot Studio, Azure Machine Learning/Cognitive Services and Power Platform AI Builder. Build and maintain secure, reliable integrations and data pipelines between D365 F&O and other internal/external systems and AI services (e.g. Azure services, Logic Apps, data lakes). Lead or support technical aspects of data migration, performance optimization, testing, code reviews, release and deployment (LCS, Azure DevOps, Git/GitHub Actions). Produce and maintain technical documentation and contribute to training, cut-over, go‑live, and ongoing maintenance and support (incidents, problems, service requests). Actively participate in relevant project and support forums, driving continuous improvement, adherence to change/release processes and alignment with IT and business stakeholders. KEY INTERFACES: Business process owners and key users (Finance, Supply Chain, Manufacturing, Operations, etc.) Group IT (solution architects, integration teams, data/AI teams, support teams) Project managers and test managers External implementation partners and Microsoft (technical architecture, escalations) EXPERIENCE AND EDUCATION: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or similar. 5+ years of relevant technical work experience, including proven experience as a D365 F&O Developer. Demonstrated experience from at least one large, complex D365 ERP implementation project. Experience working in global organizations and international project setups. Microsoft certifications in D365 F&O and/or Azure (AI/Data) are an advantage. Experience from B2B/industrial organizations is an advantage. SKILLS & ABILITIES: Deep technical skills in D365 F&O development (X++, Visual Studio, extensions, event handlers, data entities, OData/REST, SSRS, Power BI). Good understanding of AI/ML concepts and hands-on experience with Azure OpenAI/LLM solutions, Azure Machine Learning or Python-based ML frameworks; ability to integrate AI services with D365 F&O. Proficiency in C# and/or Python for building integrations, services and data pipelines; strong SQL and data‑modelling skills (e.g. Azure SQL, Dataverse, data lakes). Experience with Azure DevOps, Git/GitHub Actions, scripting and automation (PowerShell, Azure CLI), and hybrid cloud/on‑prem integration scenarios. Strong analytical and problem‑solving skills, with the ability to understand business needs and translate them into tangible technical solutions. Experience with tools such as Jira/ALM/ServiceNow and SharePoint; solid understanding of change, release, deploy, testing, training and IT service management methodologies. Excellent collaboration and communication skills, with a hands‑on, solution‑oriented mindset and ability to work effectively in global, cross‑functional teams. How to Apply: If you are passionate about innovation and want to make a difference in the world of automation, we would love to hear from you! Please be advised that a valid work permit for the country we offer the open vacancy is required for non-EU citizens. Unfortunately, applications without a valid work permit can not be considered.

Knowit Group

På Knowit FLX får du det bästa av två världar. Du styr över din ersättning, pension, dina uppdrag och din tid, samtidigt som du har tryggheten i en fast anställning, kollegial gemenskap och säljkraft från ett av Nordens ledande konsultbolag.    AI-utvecklare / Machine Learning Engineer till Knowit Solutions FLX Stockholm   Som anställd hos Knowit Solutions FLX, ett dotterbolag inom Knowit-koncernen, väljer du själv din lön, din pension, din arbetstid och dina uppdrag.  Dina närmaste kollegor är andra seniora konsulter inom systemutveckling, arkitektur och projektledning.   Hos Knowit Solutions FLX är du anställd i ett mindre bolag med korta beslutsvägar, samtidigt som du får ta del av fördelarna med att tillhöra en av Nordens största IT-koncerner.   Knowit är ett av Nordens ledande IT-konsultbolag med över 4 000 medarbetare. Vi har ett stort antal ramavtal inom både offentlig och privat sektor, vilket ger tillgång till spännande kunduppdrag och möjligheter till kompetensutbyte. Hos Knowit får du möjlighet att arbeta både i resursuppdrag och i team- eller projektåtaganden tillsammans med dina kollegor.   Vem är du?  Vi söker erfarna AI-utvecklare till uppdrag hos våra kunder inom både privat och offentlig sektor. Du arbetar med att designa, utveckla och produktionssätta AI-lösningar baserade på maskininlärning och generativ AI, exempelvis lösningar med LLM och RAG. Rollen innebär att bygga skalbara lösningar i molnmiljö, integrera AI-funktionalitet i befintliga system och omsätta nya tekniska möjligheter till konkreta lösningar som skapar affärs- och verksamhetsvärde. Du arbetar nära både verksamhet och utvecklingsteam i uppdrag där AI går från experiment till verklig nytta. Vi tror att du har:   * Erfarenhet av utveckling av AI- och maskininlärningslösningar * Stark kompetens i Python * Erfarenhet av att utveckla lösningar baserade på Large Language Models (LLM) och generativ AI * Erfarenhet av att utveckla RAG-lösningar eller andra lösningar baserade på semantiskt sök och embeddings * Erfarenhet av att utveckla AI-lösningar från prototyp till produktionssatt system * Erfarenhet av API-utveckling och integration av AI-tjänster * Erfarenhet av containerbaserad utveckling, exempelvis Docker eller Kubernetes * Erfarenhet av att utveckla AI-lösningar i molnplattform, Azure, AWS eller GCP * Mycket god förmåga att kommunicera på svenska och engelska i tal och skrift  Varför Knowit Solutions FLX?   Hos oss får du det bästa av två världar: friheten att själv forma din arbetssituation och tryggheten i en fast anställning.   Du blir en del av ett kompetent nätverk av kollegor, får stöd av en stark säljorganisation som matchar dig med rätt uppdrag och har styrkan hos ett av Nordens största IT-konsultbolag i ryggen.   Välkommen med din ansökan!

Modulai AB

Modulai works with fish, trains, clothes, money, pets, office spaces, sound sensors and much more. If there is data, we do ML (Machine Learning) on it. Our team consists of devoted ML engineers with strong track records from some of Sweden’s most successful startups. We work on project basis and take end-to-end responsibility. We love ML and we think that the best way for us to expand our knowledge is to be exposed to a diversified set of challenging and fun projects. MACHINE LEARNING ENGINEER As a member of the ML-team you will be working with a broad range of problems with one common denominator – ML will be the key ingredient. The projects could be external as well as internal – and in all cases – delivery is central. You will have to analyze the problem at hand, come up with a solution strategy and execute on it. This typically entails gaining an in-depth understanding of the challenge, understanding the available data and then re-formulating it as a ML problem. It requires openness, creativity and an eagerness to learn new methodology and exploring new terrains. We frequently attack these problems as a team, meaning that you will have to be able to clearly explain your reasoning and code in order to engage the rest of us. Our Stack Python / R – standard open-source libraries Scikit-learn and various specialized Python and R ML libraries Large Language Model (LLM) frameworks such as LangChain/LlamaIndex, LangGraph, CrewAI Cloud platforms such as AWS, GCP, and Azure CI/CD: DVC, Github Actions, Sagemaker/VertexAI/AzureML, Relational database management systems MLOps and LLMOps tools for model deployment and monitoring. Software engineering best practices, including testing, version control (Git), and containerization (Docker, Kubernetes) Orchestration: Airflow, AWS Step functions, etc Engineering/LLM/deployment: Kubernetes, docker, terraform Responsibilities Analyzing and planning problems, solutions, and delivery with stakeholder managment, and communication with client Preprocessing, feature engineering, and dataset creation ML and LLM model development, fine-tuning, and evaluation Validation of results and model interpretability Building and optimizing data pipelines and ML/LLM infrastructure Developing APIs and integrating ML models into production systems Ensuring scalability, monitoring, and performance optimization of deployed models Background & Skills MSc or Ph.D. in a quantitative field Excellent understanding of a broad set of ML and deep learning algorithms, including LLMs Strong software development skills in Python and experience with software engineering best practices Experience deploying ML and LLM models into production environments A passion for lean, clean, and maintainable code The desire to grow and to share insights with others Helpful Knowledge Deep learning frameworks and transformer-based architectures LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) Data pipelining and ML/LLM infrastructure best practices DevOps experience, CI/CD, Kubernetes, and serverless architectures Experience with vector databases e.g (Pinecode, redis, and ElasticSearch) for LLM applications About Team Modulai At Modulai we focus 100% on solving problems with machine learning (ML). We work in teams on a project basis. We work for clients, as part of the core team in startups where we have long-time engagement as well for large enterprises transforming ways of working. Learning and teamwork are central to how we work. Everyone in the team is or will soon be a full-stack ML engineer capable of scoping and developing end-to-end ML solutions. You should be able to do end-to-end machine learning products by yourself but actually, never do it because we always work in teams. If there is data, we will do ML on it! Apply here: https://modulai.teamtailor.com/

Vionlabs AB

About Vionlabs: Vionlabs is an AI company that helps media and entertainment businesses better understand and recommend video content. Our technology uses machine learning and computer vision to analyze content and improve user experiences for streaming platforms and media companies worldwide. About the Role: We are looking for a Machine Learning Engineer to join our growing team in Stockholm. As a Machine Learning Engineer, you will be responsible for developing, improving, and deploying machine learning models that power our AI-driven products. You will work closely with software engineers, data scientists, and product teams to build scalable solutions that deliver value to customers in the media and entertainment industry. Responsibilities: Design, develop, and maintain machine learning models and pipelines Analyze large datasets and extract actionable insights Build scalable data processing workflows Deploy and monitor machine learning models in production environments Collaborate with engineering and product teams to improve AI-powered services Continuously evaluate and improve model performance Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Mathematics, or a related field Strong programming skills in Python Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar Experience working with large datasets and data processing tools Knowledge of software engineering best practices Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus Strong analytical and problem-solving skills Excellent communication skills in English What We Offer: Opportunity to work with cutting-edge AI technology International and collaborative work environment Competitive compensation and benefits Flexible working arrangements Professional development opportunities Location: Stockholm, Sweden Employment Type: Full-time, permanent position.

Volvo Personvagnar Aktiebolag

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a senior data scientist, you will turn large‑scale engineering data into insights and models that guide product development and engineering decisions. You will design, train, validate, and deploy advanced ML models, particularly for sensor signals and other complex data sources.  You will take a leading role in shaping innovative projects, stay up to date with the latest AI developments to ensure we use the most suitable methods, and evolving how we work with vehicle data across Volvo Cars. You will mentor and guide other data scientists, collaborate across disciplines to identify impactful opportunities, and help to build a strong, inclusive analytics community within Volvo Cars Engineering.     This role is ideal for someone who combines deep technical expertise with a passion for leadership, mentorship, and driving innovation.  What you'll bring You have a strong quantitative background, with a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 5+ years of experience in a data science or similar role. You are comfortable leading by example, guiding others, setting technical direction, and raising the quality of analytical work across teams.    You bring an experimental mindset, balancing speed and rigor to iterate quickly and deliver impact. You have experience owning machine learning or analytical projects end-to-end, from ideation through to deployment, and you are able to clearly communicate insights to non-technical stakeholders.    You likely have experience in several of these areas:   Strong experience with Python and solid understanding of software and data engineering practices for production systems  Strong familiarity with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  You have experience building data pipelines on platforms such as Databricks or Snowflake  Theoretical understanding and practical experience in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with software versioning (e.g., Git)   Experience with generative AI or LLM-based applications    Beneficial:  Experience or familiarity with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge  Experience mentoring or leading technical work    You would thrive in a collaborative environment while feeling confident driving technical direction. You would lead through knowledge‑sharing, encouragement, and clarity as well as communicate effectively with diverse audiences. You bring curiosity, creativity, and strong analytical rigor. You inspire others through initiative, openness, and responsibility. You bring your experience in shaping processes, methods, and standards.

Aira Group AB

10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time. Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role In the Energy Optimization team, we build optimization and ML models that actively control when the heat pump runs, when the battery charges or discharges, and when to export energy to the grid. We are now building new flexibility capabilities by coordinating fleets of homes to support the grid when it matters most. We’re now looking for a Data Scientist to join the team. You’ll lead projects end-to-end: shape the problem, build forecasting and optimization models, run experiments, and work closely with Product, Engineering and Design to ship customer-facing AI solutions. We value clear communication, thoughtful collaboration, and a constructive approach to problem solving. If you enjoy making measurable progress, turning messy real-world signals into decisions people can trust, and moving projects forward even when the path is not fully defined, we would love to hear from you. What you will be doing Translate real-world control problems into optimization models that minimizes customers’ energy bills. Develop and improve forecasting and decision-support models enabling optimal control schedules for customers’ home energy devices. Design and run experiments on real customer systems, evaluate impact, and turn insights into product decisions. Work closely with the team to bring models into production. Work across the full data stack, including data pipelines, feature engineering, deployment and monitoring. Lead initiatives from discovery to production impact. You set direction, align with stakeholders across product and engineering to deliver outcomes even when the path is not fully defined. Communicate clearly to technical and non-technical audiences, explaining trade-offs, uncertainty, and what is good enough to ship. What you bring to the team Several years of experience as a Data Scientist, Optimization Engineer, Applied Scientist, Machine Learning Engineer or similar. Strong mathematical and statistical modelling skills. Experience with time-series forecasting and machine learning, ideally applied to operational systems. Experience working in Python and with modern ML/optimization tooling and workflows. Solid Software Engineering fundamentals for deploying and maintaining ML systems in production. A pragmatic, product-oriented mindset: you optimize for real-world impact, not model complexity. Experience with cloud platforms (AWS, GCP, or Azure). Nice to have Experience with constrained optimization and applying it to real-world systems. Experience with energy systems or electricity market knowledge, especially flexibility and demand response. Experience with control system or physical systems modelling. What is in it for you? Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities. Collaborate with diverse teams across international markets and launch products globally. Develop and grow personally and professionally in an entrepreneurial-minded environment. Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world. Influence the company's success, with a visible impact on product development and market growth. At Aira, We’re not just champions of next-generation energy, we’re champions in Diversity and Inclusion too. We believe that a diverse workforce sparks innovation and creativity and enables us to better serve our customers and communities. We encourage individuals from all backgrounds, cultures, and perspectives to join our team. We will never accept any form of discrimination and believe that together, we can drive a new era for our people and planet.

Volvo Personvagnar Aktiebolag

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a data scientist, you will turn data into meaningful insights using analytics and machine learning techniques. You are comfortable working independently on innovative projects to require, amongst others, to design, train and evaluate models to analyze sensor signals and other engineering data.   You will collaborate closely with other data scientists and data engineers across different disciplines. You’ll contribute by sharing your knowledge and learning from others as you help evolve our methods, tools, and best practices.   This role suits someone who enjoys building, exploring, and delivering high‑quality analysis that drives real impact.  What you'll bring You have a strong quantitative background, with a Master’s in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 3+ years of experience in a data science or similar role. You have experience in all stages of data science projects: framing questions, analyzing data, modeling, interpreting results, and communicating insights.   You may have experience in several of the following areas (you do not need to meet all of them):  Experience with Python and aware of software and data engineering practices for production systems  Familiar with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  Experience building data pipelines on platforms such as Databricks or Snowflake  Understanding and experience applying in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with developing generative AI or LLM-based applications     Beneficial to have: Familiar with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge    We value how you collaborate as much as your technical skills. You should approach problems with curiosity and creativity as well as communicate clearly with both technical and non‑technical colleagues. You would take ownership and follow through as well as open discussions and multidisciplinary teamwork.

Sigma Connectivity AB

Jobbeskrivning Sigma Connectivity’s Edge AI initiatives span multiple domains—computer vision, audio intelligence, sensor fusion, and embedded ML—delivering low‑latency, privacy‑preserving intelligence directly on devices across diverse hardware platforms. Projects routinely involve developing and optimizing ML models for tasks such as gesture recognition, defect detection, object tracking, and contextual human‑machine interaction, deployed on edge hardware including Qualcomm, NVIDIA, NXP, and other MCU‑class systems. Work includes quantization, DSP/NPU acceleration, real‑time analytics, and combined cloud–edge pipelines that enhance precision while keeping compute close to the data source. We are looking for a skilled ML Engineer to join our growing team and contribute to the development of advanced edge AI solutions. Your work will include - Model Design and Deployment: On-Device Design, train, and validate ML models for computer vision, sensor fusion, signal processing, and predictive analytics. Develop and optimize ML pipelines for on‑device inference, including quantization, power/performance tuning, and DSP/NPU acceleration. Monitor, test, and optimize the performance of deployed models to ensure accuracy, scalability, and maintainability. Data Processing & Analysis Build data ingestion, preprocessing, and feature‑engineering pipelines for both edge and hybrid (Edge + Cloud) deployments. Extract, process, and analyse large datasets to generate actionable insights and continuously improve model performance. Collaboration Work with cross‑functional teams—architects, embedded developers, PMs, UI/UX, and customers—to develop and integrate ML functionality into real products. Participate in prototyping, PoCs, and contribute to customer dialogues and technical presentations. Participate in technical discussions, document your work, and clearly explain the trade-offs and decisions behind the solutions you present. Stay Current Keep up to date with the latest trends, tools, and technologies in AI/ML to ensure our solutions are cutting-edge. We are looking for - Strong hands‑on experience in Python, ML frameworks such as PyTorch or TensorFlow, and classical CV libraries (OpenCV, scikit‑learn). Ability to build and deploy ML models for Edge or Embedded platforms, preferably with experience on Qualcomm, Nordic, NXP, or similar SoCs. Familiarity with quantization, model compression, benchmarking, and inference profiling on constrained hardware. Experience with data pipelines, including data validation, augmentation, and performance analysis. Understanding of end‑to‑end ML lifecycle, including experimentation, evaluation, and deployment in production environments. Master’s or PhD in ML, Robotics, Autonomous Systems or related fields. 2+ years of hands-on experience developing and deploying ML models in production. Proven experience in one or more of:Computer vision Time‑series or sensor‑data ML LLM‑based or hybrid AI systems Effective communication skills and experience working in cross-functional teams. Passionate about staying up to date with emerging technologies, methodologies, and industry trends in AI/ML. Bonus: Knowledge of MLOps, FastAPI, Docker, CI/CD, and cloud platforms such as Azure or AWS We Provide - Cutting-Edge Projects: Opportunity to work with industry-defining technologies in terms of applied research and pushing functional boundaries. Vibrant Work Environment: We have technical experts from 25 nationalities as part of our team and disruptive ideas are a daily occurrence whether it is a groundbreaking mesh technology, a radical approach to manage power and performance on edge devices, or creative solutions to enhance model efficiency. Work-Life Balance: We understand the importance of balancing work and personal life. Our flexible work hours and remote work options help you maintain this balance. Competitive Pay: We offer a salary that aligns with industry standards, ensuring you are fairly compensated for your skills and experience. Generous Vacation Time: Enjoy a healthy work-life balance with 25 days of annual paid vacation. We believe time off is crucial for your well-being and productivity. Health and Wellness Benefits: Dedicated yearly health and wellness allocation.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. At Valtech, we are helping global organizations transform how they operate through Data, AI, and emerging Agentic systems. As an AI Platform Engineer, you will lead multidisciplinary teams building AI-powered applications, intelligent workflows, copilots, and agent-based solutions that create measurable business impact. We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  THE ROLE   Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of the Americas and occasionally in Europe. WHAT YOU'LL DO AI ENGINEERING LEADERSHIP * Lead the design and delivery of enterprise AI applications, copilots, assistants, and agentic solutions. * Define implementation strategies that align AI capabilities with business objectives and user needs. * Guide teams in building scalable AI workflows, retrieval systems, orchestration layers, and tool-integrated experiences. * Drive best practices across prompt engineering, retrieval-augmented generation (RAG), tool calling, context management, testing, observability, and evaluation. * Ensure high-quality, maintainable, and secure AI implementations. CLIENT & STAKEHOLDER ENGAGEMENT * Partner with clients to understand business challenges and identify AI-powered opportunities. * Translate ambiguous requirements into practical implementation approaches and technical roadmaps. * Act as a trusted advisor during workshops, discovery sessions, and executive presentations. * Collaborate closely with Data Scientists, Data Engineers, Architects, Analytics Engineers, Product teams, and business stakeholders. ---------------------------------------------------------------------------------------------------------------------------------- REQUIRED QUALIFICATIONS * 7+ years of experience in software engineering, AI engineering, machine learning engineering, or related fields. * 2+ years of experience leading technical teams or managing engineering professionals. * Strong experience building AI-powered applications and LLM-enabled solutions in production environments. * Hands-on experience designing and implementing: * Generative AI applications * Agentic workflows * Retrieval-Augmented Generation (RAG) solutions * Tool-calling and workflow orchestration patterns * API-driven integrations * Advanced Python development experience. * Experience working with Microsoft Azure * Experience working with cloud-based AI platforms and services. * Strong stakeholder management and communication skills. ---------------------------------------------------------------------------------------------------------------------------------- PREFERRED QUALIFICATIONS * Experience delivering AI solutions within consulting, digital agencies, or enterprise environments. * Experience leading multiple workstreams simultaneously across clients or business units. * Familiarity with AI governance, responsible AI practices, security, and privacy considerations. * Knowledge of evaluation frameworks for AI applications and agentic systems. * Experience supporting distributed, international engineering teams. ---------------------------------------------------------------------------------------------------------------------------------- WHAT SUCCESS LOOKS LIKE * Delivering scalable, production-ready AI solutions that generate measurable business value. * Building high-performing AI Engineering teams through coaching and mentorship. * Promoting reusable implementation patterns and engineering best practices. * Ensuring reliable, secure, and responsible AI adoption across projects. * Strengthening Valtech's leadership position in AI-powered digital transformation. ---------------------------------------------------------------------------------------------------------------------------------- If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a full-time position based in Montreal and Toronto. The offered salary range is $95,000 to $130,000 annually, depending on experience and location.  Valtech offers a comprehensive benefits package effective after three months of continuous service: * A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage. * Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program. * A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech. * A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.  * Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year. * Personal Technology Reimbursement – $30/month for every employee-offered on day 1.  * We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us. ----------------------------------------------------------------------------------------------------------------------------------

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a Full time position based in Ukraine.  Beyond a competitive compensation package, we offer:  * Mental and physical health: * Medical insurance  * Sports reimbursement budget  * Home office support  * A number of free psychological and legal consultations  * Maternity and paternity leave support  * Personal and professional development: * Internal workshops and learning initiatives  * English language classes compensation  * Professional certifications reimbursement  * Participation in professional local and global communities * Growth Framework to manage expectations and define the steps to move towards the selected career  * Mentoring program with the ability to become a mentor or a mentee to grow to a higher position  * Valtech Ukraine has a system of progressive benefits packages in place — the longer you stay with the company — the more benefits you get.  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  The benefits   This is a position based in Poland.  MENTAL AND PHYSICAL HEALTH: * 24 working days of paid vacation * National holidays covered * Sick leave (up to 20/year) * Unpaid leave (up to 20/year) * Medical insurance * Multisport card OR Multikafeteria * Maternity & paternity leave support PERSONAL AND PROFESSIONAL DEVELOPMENT: * Internal workshops & learning initiatives * Professional certifications reimbursement * Participation in professional local & global communities * Growth Framework to manage expectations and define the steps to move towards the selected career * Mentoring program with the ability to become a mentor or a mentee to grow to a higher position Valtech Poland has a system of progressive benefit packages – the longer you stay with the company, the more benefits you get! Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  The benefits   * Private health insurance We hope you will never need it, but nevertheless, we offer private health insurance to all our employees. * Education program We never stop learning, that’s why we offer our employees an educational program with training and certification. * Wellbeing program We all deserve to live a healthy and well-balanced life. It's not an option, it's a necessity! * Free beverages Enjoy free coffee, drinks, and snacks at work, or join one of our famous company dinners. * Events We enjoy spending time together, not only at work. Ski trips, carting, laser-tag, wine tasting, picnics, cooking classes… you name it – we’ve done it! There are plenty of cool events to join and to get to know your colleagues. * Competitive conditions Besides a competitive salary and 24 days of vacation, you will join annual company events with the whole team. * Challenging projects Ready for a challenge? We guarantee you'll find challenging projects at Valtech! * Cool colleagues What's the most important thing in a job? Cool colleagues with whom you spent most of the time during the week. We have a lot of them! * Honest feedback Honesty, openness and respect are among our core values. We encourage an open feedback culture in order to build trust and grow together. Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Kraftsam Rekrytering & Bemanning AB

Om företaget Valcon är ett internationellt konsultbolag som arbetar i skärningspunkten mellan affär och teknik, med fokus på att skapa datadrivna lösningar som gör verklig skillnad för sina kunder. Bolaget kombinerar strategisk rådgivning med teknisk implementation och hjälper organisationer att ta nästa steg inom digitalisering, data och AI. Här får du arbeta i en miljö där innovation, samarbete och kunskapsdelning står i centrum. Teamet består av erfarna specialister inom data, analytics och machine learning som tillsammans driver utvecklingen framåt och skapar värde i allt från tidiga koncept till produktionssatta lösningar. Som medarbetare erbjuds du stora möjligheter att påverka både teknikval och arbetssätt, samtidigt som du får arbeta i varierande projekt hos välkända kunder. Kulturen präglas av entreprenörsanda, nyfikenhet och en vilja att ständigt utvecklas – både som individ och som team. Om tjänsten I rollen som Machine Learning Engineer arbetar du nära både teknik och verksamhet för att utveckla skalbara och robusta ML-lösningar. Du blir en del av ett team där samarbete, kunskapsdelning och nyfikenhet står i fokus. I denna roll kommer du bland annat att: Utveckla och träna machine learning-modeller i Python (t.ex. med NumPy, Pandas och scikit-learn) Arbeta med feature engineering, datamodellering och statistisk analys Utvärdera och optimera modellprestanda genom tester och experiment Bygga, underhålla och vidareutveckla ML-pipelines Sätta modeller i produktion och säkerställa stabil drift över tid Arbeta med MLOps, inklusive CI/CD, modellversionering och automatiserad retraining Exponera modeller via API:er och integrera dem i affärsnära system Arbeta med moderna teknologier såsom Azure Machine Learning, vektordatabaser och embeddings Utveckla lösningar inom generativ AI, exempelvis RAG (Retrieval-Augmented Generation) Samarbeta med andra utvecklare, data engineers och stakeholders för att skapa värde från data Du kommer att arbeta genom hela ML-livscykeln – från experiment och prototyp till produktionssatta lösningar och kontinuerlig förbättring. Vi söker dig som Har minst 3 års erfarenhet inom Machine Learning eller liknande roll Har goda kunskaper i Python och ML-bibliotek Har erfarenhet av att utveckla, testa och sätta ML-modeller i produktion Har förståelse för statistik, sannolikhetslära och modellvalidering Har arbetat med ML-pipelines, CI/CD och MLOps Har erfarenhet av molntjänster, gärna Azure Är van att arbeta i team och kommunicera med både tekniska och icke-tekniska stakeholders Kommunicerar obehindrat på svenska och engelska Övrigt Anställningen är på heltid med en inledande provanställning på sex månader. Lön och tillträde sker enligt överenskommelse. Tjänsten är placerad i Göteborg. I denna rekrytering samarbetar Valcon med Kraftsam Rekrytering och Bemanning. Externa rekryteringsbolag och säljare undanbedes vänligen men bestämt. Har du frågor om tjänsten, vänligen kontakta ansvarig rekryterare Kristina Maksimovic på kristina@kraftsam.se Vi ser fram emot din ansökan!

VOLVO BUSINESS SERVICES AKTIEBOLAG

Company description: Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm." Job description:  Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.   Your future team You will join the Data Science team composed of 35+ Data scientists and Machine Learning Engineers. You will work in an international environment, collaborating with colleagues across disciplines to deliver end-to-end data and AI products used globally. You will report to the Chapter Lead France or Sweden (depends one where you’ll be located). The AI Solution Engineer position will be located in Lyon or in Gothenburg and we are looking for several profiles in both locations. All positions are permanent contract in both locations.   What you will do At Volvo Group Digital Technology & Operations (DTO), you will contribute to the transformation of our company, the transport industry and society at large. In this role, you will enable the engineering of production-grade machine learning solutions, from understanding real business needs to industrializing, operating, and continuously improving ML and AI products at scale. You will collaborate with international stakeholders and product teams across Volvo Group domains, and take ownership of key technical decisions, architecture, and lifecycle management, including CI/CD, service deployment, orchestration, containerization, MLOps and model serving, while ensuring solutions align with security, governance, and regulatory requirements.    Who are you? Do you dream big? We do too, and we are excited to grow together. In this role, you will bring: Essential requirements  •    Strong programming skills with Python•    Hands-on experience with cloud engineering and platforms such as AWS, Azure, Google Cloud•    Solid experience with containerization and orchestration tools (e.g. Docker, Podman, Terraform)•    Strong experience with CI/CD (e.g. Azure Pipelines, Github Actions), deployment strategies, and git branching practices.•    Strong understanding of data science, machine learning and AI, including mathematical statistics•    Experience with microservices architecture and API development Nice to have•    Master key aspects of data science, machine learning and AI, including mathematical statistics•    Deep experience with LLMs, including retrieval, prompt engineering, evaluation, safety and cost performance tuning•    Experience delivering ML and AI in regulated environments with governance and audit requirements•    Domain experience with vehicle data, diagnostics, telematics, or quality and warranty analytics•    Leadership experience such as owning ML products end to end, mentoring, or leading practitioner communities   What’s in it for you?We offer a solid package of compensation and benefits, plus you will enjoy:•    A role where you can create measurable impact through Data and AI, including contributions to sustainability goals•    A collaborative, international community with 900+ data colleagues across seven countries•    Strong opportunities to grow through global, cross-functional work and end-to-end product ownership•    A culture that values openness, diversity in expertise and perspective, and co-creation   Ready for the next move?If you want to make a real impact in your career, the transportation business is where you want to be. We look forward to meeting you.   Swedish Union representatives:•    Akademikerna – Mikael Johansson, +46 73 902 34 30•    Unionen – Lajla Dahlsjö, +46 31 322 45 75•    Ledarna – Carina Sachade, +46 73 902 40 83 Last application date: 01 August 2026 We review applications and interview candidates on a rolling basis, so do not wait to apply. Please note that, due to the summer holiday period, our recruitment process may take a little longer than usual. We appreciate your patience and will get back to you as soon as possible. We value your data privacy and therefore do not accept applications via mail. In some countries and specific positions, background checks may be required, in accordance with local laws and regulations. If this is applicable to the role you have applied for, you will be informed.   Who we are and what we believe inWe are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Volvo Group Digital Technology & Operations (DTO) is a new division established to integrate the capabilities of VG Digital & IT and VG Connected Solutions to accelerate the digital transformation in Volvo Group. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a hands-on engineering role focused on making modern development smoother, faster and more reliable. The work centers on improving developer productivity through internal tooling, reusable automation and scalable CI/CD solutions, while also supporting Azure-based data platforms in a cross-functional environment. This role suits you if you enjoy building practical solutions that other engineers rely on every day. You will work close to engineering and platform teams, with plenty of room to influence how workflows, quality and traceability are improved across the broader technical landscape. It is a great opportunity if you want to combine software engineering, DevOps and data-platform work in a role where your solutions will have clear and visible impact. Job DescriptionYou will develop Python-based automation, internal tooling and engineering workflows for production-oriented use. You will build, maintain and improve GitHub Actions, GitHub Workflows and reusable CI/CD pipelines. You will support Azure-based data platforms, including Databricks and related technologies. You will help strengthen software quality, traceability and engineering processes across teams. You will collaborate with engineers and platform specialists to deliver scalable technical solutions. You will contribute in both Windows and Linux environments, with a focus on reliable delivery and efficient development flows. RequirementsStrong Python skills for production-oriented automation and tooling. Practical hands-on experience with Azure Databricks, ideally including development of notebooks, pipelines or jobs, or Spark-based solutions. Experience with Azure data-platform technologies such as Spark, Kafka, Hadoop, schema enforcement, data quality validation or Power BI. Hands-on experience with GitHub Actions, GitHub Workflows and reusable workflow design. Solid Docker experience. Experience working with CI/CD in Windows and Linux environments. Ability to work independently while collaborating across teams. EU citizenship. Nice to haveExperience with data governance and data modelling. Experience with machine learning model deployment. Experience with GitHub CLI, REST APIs or GraphQL APIs. Experience with JFrog Artifactory or similar tools. Experience with Bash and or PowerShell. Experience with Git LFS. Experience with GitHub Enterprise Server and self-hosted runners. Experience with AI-powered developer tools or agentic engineering workflows. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.