
VOLVO BUSINESS SERVICES AKTIEBOLAG · Göteborg
Company description: Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm." Job description: Transport is at the core...
Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm."
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.
About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description Uppdragsbeskrivning Our client is enhancing their data platform (Databricks) with AI capabilities and are looking for a senior ML Engineer. The person they are seeking has experience from the whole ML chain including data → feature → model → deployment → monitoring. The person does also have experience from cost consciousness – Dev, Deploy and Run vs. business value. Skill requirements At least 5 years of experience building and maintaining production models and AI solutions Able to contribute to all parts of an AI solution Azure AI stack such as Azure AI services, Microsoft Foundry etc Strong Python skills Proficient in ML frameworks such as Tensorflow, PyTorch, MLlib and Scikit-Learn Hands on experience in designing and operating functions in Azure and Databricks Experienced with at least one MLOps tool (ideally MLFlow) Strong experience in one of NLP, computer vision, timeseries, anomaly detection with some experience in the others Experience with software engineering practices (version control, CI/CD, testing, etc.) Nice to have: Experience with RAG systems Agentic systems and RPA PySpark/Apache Spark Event driven systems or streaming data Experience mentoring junior ML and Data engineers Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.
About Optimen Optimen is a certified "Great Place to Work" and a strategic delivery partner for Jeppesen ForeFlight. We specialize in aeronautical technology and resource optimization for the global airline industry. With 19 years of experience, with operations in Mexico, USA and Canada, we operate as an extension of our clients' IT departments. We are entrusted with the configuration, development, and delivery of Jeppesen’s Crew and Fleet Portfolio. Carriers such as Aeromexico, Volaris, LATAM, Avianca and TAP Air Portugal rely on Optimen to solve their most complex operational challenges. We are now establishing a Center of Excellence in Sweden to lead critical implementation projects around the world, bridging the gap between client stakeholders and our engineering hubs. The Role We are recruiting a foundational team of Senior and Expert professionals (6–12+ years of experience) to lead the delivery of Jeppesen Crew Tracking solutions. Operational Transformation through Technology This is more than an implementation role; it is a digital transformation initiative. You will help major airlines modernize their mission-critical operations by replacing legacy, manual processes with advanced optimization technology. Your mandate is to: Leverage Optimization: Configure Jeppesen’s powerful solvers to automate complex decision-making, shifting the client from reactive manual tracking to proactive, data-driven recovery. Engineer Efficiency: Use technology to encode complex labor agreements (CLA) into automated logic, eliminating human error and unlocking tangible cost savings. Connect the Ecosystem: Design robust integration architectures that break down data silos, ensuring the crew system acts as the intelligent digital backbone of the airline’s operation. You will work in a distributed Agile environment, acting as the primary link between European client stakeholders and our engineering teams in Americas. Core Responsibilities 1. Agile Product Ownership & Value Realization Backlog Management: You will own or heavily influence the product backlog. You must translate high-level business goals into well-defined User Stories and Acceptance Criteria for the engineering team. Focus on Business Outcome: You will challenge the client’s assumptions. Instead of simply implementing a rule, you will define the operational value (e.g., "How does this configuration improve operational compliance?", "How does this automation reduce manual intervention?", or "Does this cost function accurately reflect disruption costs?"). Sprint Execution: Participate in and facilitate Agile ceremonies (Sprint Planning, Reviews). You will be responsible for validating that the delivered increments meet the business objectives before they reach the client. 2. Solution Design & Complexity Management Functional Modelling (CLA Rules): Lead the definition of complex logic for Collective Labour Agreements (Union Contracts). You must be able to translate legal texts into functional specifications that determine legality, counters, and compensation. Tracking Optimization: Configure and tune optimization strategies. You will adjust parameters to reflect operational priorities—balancing strict efficiency against robustness during disruption scenarios. Architecture & Integration: Design the end-to-end integration landscape. You will ensure the Crew Tracking solution communicates reliably with the airline’s ecosystem (HR, Flight Ops, Payroll), defining Interface Control Documents (ICDs) and guiding data flow strategy. 3. Collaborative Leadership Distributed Team Lead: Act as the technical and functional anchor for our development teams in Americas. You will ensure requirements are understood, remove blockers, and maintain quality standards across the Atlantic. Stakeholder Advisory: Guide VP-level stakeholders (Flight Ops, IT), SMEs, and Business Function Owners through complex trade-offs. You must be able to distinguish between "must-have" regulatory compliance and "nice-to-have" process preferences to protect the implementation scope. Required Qualifications Experience: More than 6 years of experience in software implementation, solution architecture, or technical business analysis within the aviation sector. Agile Mindset: Proven experience working in Agile/Scrum environments. You must be comfortable managing backlogs, writing user stories, and focusing on iterative value delivery rather than waterfall specifications. Airline Domain Mastery: Deep understanding of Crew Management (Pairing, Rostering, Tracking) or Operations Control (OCC). You must understand the operational mechanics of counters, compensation logic, and disruption management. Consultative Approach: You are not an order taker. You have a proven ability to guide clients through complex operational changes and focus on customer outcomes. Communication: Fluent in English (written and verbal), with the ability to explain complex technical concepts to non-technical business leaders. Preferred Qualifications Jeppesen Ecosystem: Prior experience with Jeppesen products (Crew Tracking, Carmen Systems legacy) or familiarity with the RAVE modeling language is a distinct advantage. Technical Stack: For architecture-focused candidates, proficiency in Python, SQL, and AWS is highly valued. Optimization: Familiarity with Operations Research concepts, solver tuning, or defining penalty/cost functions for automated planning systems. Language Skills: Fluency in Spanish is a strong asset to facilitate collaboration with our engineering centers in Latin America.
Albert Group is building next-generation products for maths learning. AI is a genuine and relevant part of the solution. We're early-stage: a small, flat team of 6-7 people, no management layers. AI coding agents are a core, primary part of our development process — not something we're experimenting with on the side. We're looking for engineers who already build this way and do it well. We also value experience with learner signal engineering and adaptive algorithms — building, analyzing, and tuning logic based on the learning signals that flow through the product. This is one important piece of what makes the product meaningful and personalized for each learner, and it's a core part of what makes the engineering here interesting. What you'll do: Build features across our web, mobile, and backend surfaces using our TypeScript stack Work with Python where relevant, particularly around learner data processing and signal analysis Direct and critically review AI-agent-generated code as a daily practice Collaborate closely with a small, senior team with no bureaucracy in between What we're looking for: Senior-level TypeScript across backend and frontend/mobile Genuine, hands-on experience with AI-agentic development — this is a hard requirement, not a nice-to-have Comfort with Python for data-oriented tasks Experience with learner signal engineering, adaptive algorithms, or parameter/weighting tuning for personalization is a strong plus Self-directed; you'll report to the COO/CTO directly, with real autonomy