Senior AI/ML Platform Engineer (AI)

TL;DR

Senior AI/ML Platform Engineer (AI): Responsible for bringing AI systems into production on a large knowledge dataset, focusing on reliability, scalability, and reproducibility. Focus on designing, building, and managing ML systems in production, working in hybrid squads with data scientists and software engineers to translate AI experiments into scalable systems.

Location: Hybrid (Amsterdam office 1-2 days per week) + 20 days per year working remotely from abroad

Salary: €95,000 to €120,000 (based on 36 hours) + 5% profit share bonus

Company

Globally operating organization that has been shaping how knowledge is stored, enriched and unlocked for decades, building AI systems used directly by millions of users.

What you will do

• Bring AI systems into production on one of the largest knowledge datasets in the world.
• Take ML models and GenAI solutions from experiment and ensure they run reliably, scalably and reproducibly in production.
• Work daily in hybrid squads alongside data scientists, software engineers, product owners and Responsible AI specialists.
• Deliver features and ensure the data science teams ship their components the right way, in the right environments and at the right quality.
• Translate the latest developments in GenAI, NLP and RAG into concrete experiments and systems.
• Influence how pipelines, evaluation, tooling and team collaboration are set up.

Requirements

• At least 4 to 6 years of experience in ML Engineering or MLOps, with a proven track record of personally designing, building and managing ML systems in production.
• Strong programming skills in Python.
• Completed technical MSc or higher.
• Solid foundation in GenAI.
• Hands-on experience with AWS.
• You must be comfortable in an environment where processes and systems still need to be defined.

Nice to have

• Experience with Azure or GCP alongside AWS.
• Hands-on with MLOps platforms such as AWS SageMaker, MLflow or Azure ML.
• Working experience with LangChain and/or LangGraph.
• Experience with search and retrieval technologies: Elasticsearch, OpenSearch, Solr, vector databases or graph databases (e.g. Neo4j).
• Experience with ML frameworks such as PyTorch, TensorFlow or PySpark.

Culture & Benefits

• 36-hour working week (full-time), salary includes 8% holiday allowance and 13th month.
• 50% working from home + flexible hours (1 to 2 days in the Amsterdam office).
• 20 days per year working from abroad.
• 25 vacation days + option to buy more via PKB.
• Strong pension + insurance.
• Visa sponsorship (HSM) available.