Job Type: Contract
Work Mode: Hybrid (3 Days from office)
Job Description:
10 years exp.
Design, build, and operate end‑to‑end MLOps pipelines on Github
Deploy and manage Databricks workspaces and environments
Enable reproducible ML experimentation, training, and deployment
Support batch and real‑time inference workloads
Implement ML‑specific CI/CD pipelines using Azure DevOps or GitHub Actions
Automate Data validation
Model training and versioning
Model packaging and deployment
Integrate pipelines with code, data, and model repositories
Manage model versioning, rollbacks, and promotion between environments
Implement model monitoring for performance, drift, and data quality
Support re‑training and continuous improvement workflows
Implement secure ML solutions aligned with enterprise security and compliance standards
Enforce identity, access control, and secrets management
Ensure traceability and auditability of models and predictions