Machine Learning Engineer

At RebelsAI, we turn the promise of Generative AI into products that work. We help organizations build real capabilities with AI, not just tools, but systems that scale, adapt and create impact. Our machine learning engineers design and build the technical backbone of these solutions, from data preprocessing to secure cloud deployment. We are looking for someone who knows how to bring AI into the real world. Someone who understands the tech, sees the patterns and wants to build the next generation of intelligent infrastructure. What you will do As a machine learning engineer, you build the core components that power our GenAI solutions. You work on everything from ingestion to inference, across scalable cloud environments. Together with our consultants and clients, you turn business needs into smart, usable and production-ready systems. You will: •Design, build and deploy AI-based applications in the Microsoft Azure cloud •Set up infrastructure using containers, APIs and serverless components •Preprocess, chunk and structure unstructured data for optimal use in prompts and context injection •Configure and manage vector databases such as Pinecone or Azure AI Search •Implement retrieval-augmented generation flows using vector databases and embedding models •Develop orchestration logic for multi-step agents and tool-using language models •Monitor system performance, latency, accuracy and cost •Apply data privacy and security best practices across all layers •Work closely with AI consultants and clients to solve real problems •Explore new GenAI frameworks and contribute to our engineering standards •Adopt AI-tools such as Cursor and MCP's to enhance your productivity The kind of Rebel we are looking for You want to build things that work. You enjoy solving technical challenges, experimenting with new tools and creating clean, reliable systems that others can use and scale. You take ownership, move fast with focus and are not afraid to ask the questions that matter. Curious about how AI works and how to make it useful Confident working independently and collaboratively Practical and driven to get things live Open to feedback and eager to grow Passionate about technology and how it can help people move forward What we offer A fast-growing team where your work shapes real AI products Room to experiment and work with the latest GenAI tools and techniques A license for an AI coding tool of your choice, like Cursor or GitHub Copilot Competitive salary Laptop and travel expense reimbursement Hybrid working with a home base in Rotterdam Flexibility to work 4 or 5 days per week A smart, kind and ambitious team that learns and builds together What you bring You have a strong technical foundation and a curious mindset. You are eager to build real things and see them used in the world. A degree in AI, Data Science, Computer Science or a related field Strong Python skills and experience/interest in building end-to-end applications A good understanding of machine learning principles and data analysis Familiarity with LLM frameworks such as LangChain Understanding of embedding models and how vector search fits into retrieval-based systems Working knowledge of cloud environments such as Azure, GCP or AWS Fluent in Dutch and English