Senior Machine Learning & Data Engineer
Posted
Summary
Senior ML & Data Engineer building and deploying scalable AI/ML and LLM-driven solutions on Azure Databricks in a banking/insurance environment. Day to day: Python/SQL/PySpark data pipelines, ETL workflows, prompt engineering and LLMOps, with stakeholder engagement. Hybrid role, 2–3 days onsite in Amsterdam.
Location: Amsterdam (Hybrid – 2–3 days onsite)
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Role Overview
Seeking a Senior ML & Data Engineer with strong LLMOps and Azure Databricks expertise to build scalable AI/ML solutions in a banking/insurance environment. This role combines hands‑on engineering with stakeholder engagement.
Core Responsibilities
- Build and optimise ML/data pipelines using Python, SQL, PySpark
- Develop and deploy LLM-driven solutions (prompt engineering, LLMOps)
- Design ETL workflows and distributed data processing systems (Spark)
- Translate business requirements into production‑grade data solutions
Must‑Have Skills
- Strong in Python, SQL, PySpark, data transformation
- Hands‑on with Azure & Databricks (Unity Catalog, Jobs, Pipelines)
- Experience xgiwjmb in LLMs, NLP, MLOps/LLMOps
- Solid understanding of distributed systems & system design
- Experience in Data Science / Advanced Analytics
Good to Have
- Domain experience in banking or insurance