Magnet.me - Het slimme netwerk waar studenten en professionals hun stage of baan vinden.
Het slimme netwerk waar studenten en professionals hun stage of baan vinden.
Senior MLOps/Data Engineer
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Maak een profiel aan en ontvang slimme aanbevelingen op basis van je gelikete vacatures.
Join TomTom as a Senior MLOps/Data Engineer in the LP PU Directions team within Platform Products.
- 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 and model observability: freshness/completeness, drift (features/model), training/serving skew, SLA/SLO monitoring
- Ensure security and compliance
- Handle incidents and post-mortems for ML pipelines and serving infrastructure
What you'll need
- Excellence in Python software engineering and developing tests
- Fundamental understanding of Machine Learning
- 3+ years in Data Eng/MLOps roles
- Strong PySpark
- Hands-on with Databricks and Delta Lake
- CI/CD for data/ML (Git, PR workflow, automated tests, environment pinning)
- Azure basics
- Monitoring and building dashboards
- Clear communication; operational-excellence mindset (SLA/SLO ownership)
What's nice to have
- Unity Catalog experience
- Databricks Feature Store
- Terraform for workspace/clusters/jobs/UC objects
- Telemetry domain exposure
- Optimize PySpark jobs (partitioning, caching, etc.) and cost (autoscaling, spot)
Where do you want to be… in a year, in 3 years?
What if you had the opportunity to achieve more in less time than you could ever imagine?
At TomTom you can.
Bekijk ons aanbod:
Resources:
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