Senior Machine Learning & Data Engineer
Posted Updated 14
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Description
Location: Amsterdam (Hybrid – 2–3 days onsite)
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 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
