Senior MLOps/Data Engineer
TomTom
Senior MLOps/Data Engineer
TomTom is seeking a Senior MLOps/Data Engineer to own the end-to-end ML lifecycle on Azure and Databricks, working with applied scientists to operate reliable models. The role involves orchestrating ML pipelines, standardizing experimentation with MLflow, automating jobs with CI/CD, and ensuring observability and compliance. Candidates need strong Python, PySpark, Databricks, and Azure skills, with at least 3 years of experience in Data Engineering or MLOps.
Senior MLOps/Data Engineer
TomTom is seeking a Senior MLOps/Data Engineer to own the end-to-end ML lifecycle on Azure and Databricks, working with applied scientists to operate reliable models. The role involves orchestrating ML pipelines, standardizing experimentation with MLflow, automating jobs with CI/CD, and ensuring observability and compliance. Candidates need strong Python, PySpark, Databricks, and Azure skills, with at least 3 years of experience in Data Engineering or MLOps.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Orchestrate and maintain ML pipelines (ingest → feature engineering → train → evaluate → deploy → monitor → repeat) on Azure + Databricks
- Standardize experimentation using MLflow or similar tools (tracking, artifacts, model registry, stages)
- Automate jobs with Databricks Workflows and CI/CD (GitHub Actions or Azure DevOps)
- Implement data & model observability: freshness/completeness, drift (features/model), training/serving skew, SLA/SLO monitoring
- Ensure security & compliance
- Handle incidents and post-mortems for ML pipelines and serving infrastructure