MLOps/Data Engineer - Azure & Databricks Pipeline Lead
Summary
MLOps engineer at TomTom owning the end-to-end lifecycle of ML models on Azure and Databricks: building and maintaining pipelines, standardizing experiments with MLflow, automating workloads via Databricks Workflows and CI/CD, and implementing observability, security, and incident response. Hybrid role based in the Netherlands.
TomTom is seeking an experienced ML/MLOps engineer to own the end-to-end lifecycle of ML models on Azure and Databricks, collaborating with applied scientists to ensure reliable deployments.
In this hybrid role, you will build and maintain pipelines, standardize experiments with MLflow, automate workloads via Databricks Workflows and CI/CD, and implement observability, security, and incident response to maintain peak model performance.
