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Senior MLOps/Data Engineer
Tomtom
On-siteData
From the original posting
What you'll do In a nutshell, own the end-to-end ML lifecycle on Azure and Databricks, working with applied scientists to operate reliable models. 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…
Excerpt from the original posting (German). Full details are on the employer site.m3rad Jobs does not hire and does not represent the employer. The original posting is the reference.