machine learning engineer

Xomnia uses data and AI to tackle real-world challenges. Its AI work spans energy and utilities, finance and insurance, and AI for Good, with production GenAI applications across customer service use cases.

• Take models from experiment to production, including feature engineering, data pipelines, model serving, monitoring, and CI/CD
• Build production-ready GenAI applications with retrieval, agentic workflows, evaluation sets, guardrails, and client-compatible cost and latency budgets
• Choose the right tool for each problem, including LLMs, forecasting models, recommenders, or anomaly detectors
• Deploy on Azure, AWS, or GCP, using managed AI platforms such as AWS Bedrock or Microsoft AI Foundry where appropriate
• Work with client teams to translate business needs into buildable solutions and explain trade-offs
• Help clients build their own capabilities through code reviews, pairing, and engineering practices that last beyond the assignment
• Share learnings internally through Learning Labs, Xpert sessions, and mentoring

• 3+ Years of experience in ML engineering, AI engineering, data science, or a comparable role
• Strong Python skills and solid command of at least one of scikit-learn, PyTorch, or TensorFlow
• Hands-on experience with LLMs beyond API calls, including RAG, vector stores, agent frameworks such as LangChain or LlamaIndex, and evaluating output quality
• Comfortable with production tooling: MLflow, Airflow, Docker, Kubernetes, and Databricks
• Degree in Computer Science, AI, Data Science, or a related technical field
• A consulting mindset: listen first, ask difficult questions early, and turn vague needs into concrete solutions
• Fluent in English and/or Dutch

• €5,000 Annual development budget
• 25 Vacation days
• Pension
• Flexible working location
• Option to take unpaid leave
• Annual company trips
• Stock Appreciation Rights
• Salary is based on 40 hours and excludes vacation allowance
• Healthy lunch every day and a bar