MLOps/Data Engineer - Azure & Databricks Pipeline Lead
Description
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.