Senior Machine Learning Ops Engineer

Functieomschrijving

Position

Senior Machine Learning Ops Engineer

Role summary

You will own the end-to-end deployment lifecycle for AI services, working across platform and data science teams to productionalise GenAI and agentic workloads, ensure reliability in production, and design infrastructure for LLM-based applications.

Key responsibilities

• Own CI/CD pipelines and containerized deployments across DEV/UAT/PROD.
• Design and maintain infrastructure for LLM-based and agentic AI applications, including container orchestration and API serving layers.
• Integrate solutions with Azure AI Services.
• Implement observability for LLM workloads (tracing, structured logging, monitoring for latency, token usage, cost).
• Act as the technical bridge between data scientists and the platform team; participate in brainstorming and design sessions.

Working with

Collaborate with the Model Factory (platform) team and the Data Science team, supporting use cases such as retention strategy recommendations, portfolio simulation and forecasting, and AI-powered acceptance strategy simulations.

Required experience & skills

• Experience orchestrating data pipelines and ML model pipelines.
• Experience with MLOps best practices and productionalising AI products.
• Proficient in Python and Bash; preferably with experience working alongside data science teams.
• Experience with data engineering tooling, preferably on Azure Databricks.
• Experience with Azure AI Services (e.g., Azure OpenAI Service, Azure Document Intelligence, Azure AI Search).
• Experience with Azure DevOps CI/CD pipelines for containerized deployments across environments.
• Observability expertise for LLM-based workloads (tracing, structured logging, monitoring of latency, token usage, cost).

Nice to have

• Experience defining a ‘gold standard’/blueprint or way of working for ML models.
• Experience implementing feature stores.
• Experience in the banking sector.
• Knowledge of Kubernetes and Docker.
• Experience with LangGraph or LangChain.
• Familiarity with supporting services such as PostgreSQL and Redis (for state management and checkpointing).

Language

English and Dutch mandatory

Eisen

• Docker
• LangGraph
• PostgreSQL

Je sollicitatie dient uiterlijk 23 juni 2026 om 11:00 uur door ons te zijn ingediend, voorzien van een motivatie (waarin wordt toegelicht hoe aan de eisen en gunningscriteria wordt voldaan) en twee referenties. Wij ontvangen je gegevens graag minimaal één werkdag vóór de sluitingsdatum.