Machine Learning Ops Developer

Role & responsibilities

Experience required: 4-6 Years

Location -PAN India

Databricks ML Platform / MLOps Specialist with strong 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