Senior MLOps/Data Engineer

من الإعلان الأصلي

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…