AI Architect

AI Engineer

Siili

MAKE YOUR STORY REAL At Siili, we don’t just talk about AI – we make it real. We build AI-powered solutions that deliver measurable impact, combining data, design, and engineering. From recommendation engines to generative AI, our work goes beyond experiments and proof-of-concepts. We deliver solutions that scale and create value for our clients. As an AI Engineer, you will play a key role in designing, building, and deploying machine learning and AI solutions that help organizations transform how they use data. You’ll work as part of our Data & AI community, alongside data scientists, data engineers, and data architects – but your focus will be on true AI engineering: making models work in production, ensuring reliability, scalability, and performance.  What you’ll do * Design and implement end-to-end AI solutions, from prototyping to production deployment. * Build and optimize LLM-powered applications and agentic systems integrated into real business processes and systems. * Collaborate with data scientists to turn models into robust, scalable products. * Apply MLOps practices to ensure reproducibility, monitoring, and continuous improvement. * Work with modern cloud environments (Azure, AWS, GCP) and open-source AI frameworks. * Stay curious about the fast-evolving AI landscape, and bring that insight into client projects. What we’re looking for We are looking for an experienced AI Engineer who has built real AI solutions – beyond using APIs or experimenting with models. We hope you recognize yourself in most of these: * 2+ years of experience in AI/ML engineering or data science, with a solid understanding of key ML concepts such as classification, regression, NLP, and generative AI. * Experience in building production-grade LLM and agentic applications, incl. evaluation, monitoring, and scaling. * Knowledge of core LLM concepts e.g. tokenization, RAG, CoT, reasoning models, memory, fine-tuning, tool use, and self-correction. * Hands-on experience with MLOps, CI/CD, containers, and cloud environments. * Ability to design and maintain data pipelines, ensuring model reliability and performance in production. * Curiosity and drive to stay ahead of developments in AI and apply them responsibly. * Excellent communication and consulting skills — able to guide stakeholders, create understanding, and inspire confidence around AI capabilities. * Fluent in Finnish and English. Relevant technologies: * LLMs and LLM middleware: GPT, Claude, open-source models, LiteLLM, vLLM * Agent technologies: MCP, agent/workflow frameworks (LangGraph, LlamaIndex, Haystack, Magentic, Strands) * Platforms, e.g. Azure AI Foundry, Amazon Bedrock, Snowflake and Databricks * Cloud: Azure, AWS, GCP * Python * Vector databases, e.g. Pinecone, pgvector * AI powered development tools: ChatGPT, Cursor, GitHub Copilot, Claude Code, OpenAI Codex What we offer * A technically strong and collaborative community: You’ll work alongside experienced data professionals who support each other, share insights, and aim for excellence in everything we do. Our culture values respect, autonomy, and peer-driven improvement. * Opportunities to lead and influence: Whether you're passionate about architecture, data platforms, or AI enablement, you'll have the freedom to take ownership and shape solutions that matter. * Real-world impact, not just buzzwords: You'll help deliver scalable, meaningful Data & AI solutions with clear ties to business strategy – not just experimental prototypes. * Continuous learning, backed by top partnerships: We invest in your growth through mentoring, training, and hands-on access to the latest tools via our partnerships with Microsoft, Databricks, Nvidia and more. * Practical benefits: Flexible hybrid work, well-being support, hobby clubs, daycare support for sick children, and a share option program. * Company with a mission: We have a clear vision and purpose, and unique opportunity for you to make your mark as we shape the Data & AI story for a leading IT service company. * Mental well-being at the core: We know that thriving at work requires more than technical skills. That’s why we offer support through services like Focus Tiger, provide in-house coaching, and ensure that all our leaders have completed Brain-Friendly Leadership training with the NeuroLeadership Institute. You’ll have access to tools and support that help you take care of your mind as well as your career – because real impact starts with well-being. * A culture shaped by Joy, Ambition, Responsibility and a Humane touch: At Siili, we believe that great results stem from meaningful work, psychological safety, and the courage to act responsibly. You’ll be trusted, supported and encouraged to grow as your authentic self – while contributing to a more sustainable digital future. At Siili, you’re not just coding models. You’re making AI real – in production, at scale, with impact. Make AI Real!

Senior Data Scientist

Smartly

We are looking for a Senior Data Scientist to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows. You will have the opportunity to take ownership of and work on high impact projects. Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for Data Science and the marketing space, this team is for you! AS A SENIOR DATA SCIENTIST, YOU’LL: * Implement, build, and deploy scalable models and machine learning solutions that enable our users to craft great advertising experiences and campaigns with a focus on maintainability, observability, scalability and stability. * Own projects end-to-end: from problem framing and data exploration to modeling, validation, and monitoring in production. * Work with a large span of datasets from image to video to audio to text to structured performance data.  * Analyze large-scale datasets to uncover insights, trends, and opportunities that inform product strategy and customer outcomes. * You’ll work alongside our stellar data scientists, senior machine learning engineers, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently. * Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement. * Impact the daily life of the staff of the hundreds of advertisers using Smartly  * Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must. * Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills. * Keep up to date with the latest AI innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.   WHAT WE ARE LOOKING FOR: * 5+ years of experience in data science or applied machine learning * 2+ years of experience working with cloud infrastructure such as AWS or GCP * Strong foundation in linear algebra, statistics, and calculus * Fluent in Python; experience with C++ or Java is a plus * Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) * Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow) * Experience in feature engineering, model design, evaluation, diagnostics, and monitoring * Analytical mindset with a problem-solving approach * Passion for solving customer challenges quickly while making thoughtful architectural decisions * Ability to communicate complex technical findings to both technical and non-technical stakeholders. * Strong written and verbal communication skills in English * M.Sc. in a relevant field is preferred * Ability and willingness to work in a hybrid capacity from our office 3 days a week WHAT WE OFFER YOU: * Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback. * Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth. * Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave. * Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities. * Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days. Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!   #LI-OK #LI-Hybrid ABOUT SMARTLY Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.

Member of Technical Staff (Data Science)

The Upright Project

Are you an experienced Data Scientist eager to make a significant impact? We're looking for a Data Scientist to join us and help shape the future of our cutting-edge impact data products. At Upright, you get to work on a product that actually matters: the world's largest open-access database on company impact, used by 300+ institutional investors and corporations to make real capital allocation decisions. We quantify companies' impact from the ground up, based on peer-reviewed science and what companies actually produce and sell. The raw material is their product data, which we collect and classify automatically at scale. A few things our team has built recently: Our impact data engine pairs a vertically trained LLM with an algorithm that runs thousands of impact-size comparisons per product, producing estimates that are internally coherent and grounded in scientific evidence. Patent pending on the core training technique (US application 19/629,694, filed March 2026). An agentic company-mapping pipeline that ingests messy product descriptions, annual reports, and websites, and produces structured, comparable impact-relevant product sets at the scale of tens of thousands of companies and 150 000+ different products An LLM-assisted Double Materiality Assessment engine that automates a process consultants currently charge €50–200k for, with structured outputs, retrieval over peer-reviewed evidence, and a custom eval harness keeping quality measurable. As a Data Scientist, you'll own larger projects and product areas end-to-end, set technical direction in key areas, mentor others, and ship results that show up directly in how institutional capital flows. Your specific responsibilities will be tailored during the recruitment process to your background, skill level, and interests. If you're ready to grow your career while building a platform that matters and to do it in an AI-forward data science environment, we'd love to hear from you!