Databricks ML Platform / MLOps Specialist with solid Data Science and Machine Learning knowledge, who can define and implement the processes required to operationalize ML models at scale.
Key skills
- Databricks, notebooks, MLflow and model lifecycle management
- Strong understanding of Data Science and ML workflows
- Defining MLOps processes, standards and best practices
- ML model versioning, deployment, monitoring and governance
- ML observability model performance, drift, data quality, failures and alerts
- CI/CD and automation for ML pipelines
- Model registry and promotion across development, test and production
- Experiment tracking and reproducibility
- Feature management and data/model lineage
- Production ML monitoring and operational processes
- Ability to work with Data Scientists, Data Engineers and DevOps teams
The ideal candidate should be able to define the end-to-end ML lifecycle and MLOps operating mode