Machine Learning Engineer + AI (LLM)

Join a high-performing engineering team focused on building, deploying, and scaling AI systems in production. The role is based in the Tricity area with hybrid work mode and relocation support.

• Strong proficiency in Python and frameworks like TensorFlow, PyTorch, and scikit-learn
• Hands-on experience using LLMs in production environments
• Deep understanding of data structures, algorithms, and engineering best practices
• Familiarity with transformer architectures, classical ML, and MLOps concepts
• Experience building scalable, reliable ML pipelines with tools like Apache Beam and MLflow
• Commitment to high-quality ML engineering — versioning, experiment tracking, and automation
• Curiosity, collaboration, and a bias for simplicity and clarity in solving complex problems

• Design, build, and scale production-grade ML systems used in mission-critical environments
• Work hands-on with LLMs, from prompt engineering to fine-tuning and RAG systems using frameworks like LangChain
• Collaborate across teams to create robust data pipelines and automate workflows using tools like Apache Beam and MLflow
• Apply solid software engineering principles — clean architecture, testing, CI/CD — to ensure stability and scalability
• Stay ahead of emerging technologies and share best practices across the team