Shared jobMLOps Engineer
Pune · Senior
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Job description
- Set up and configure the MLOps platform and CI/CD for models.
- Build pipelines for model training, deployment, versioning, and monitoring.
- Integrate MLOps tooling with the lakehouse and feature data.
- Establish model governance, lineage, and audit trails.
- Support reproducibility and environment management across dev and production.
- Prepare the MLOps foundation to support agentic AI capabilities in later phases.
- Proven MLOps setup and configuration experience end to end.
- Experience with model CI/CD, versioning, and monitoring in production.
- Familiarity with Azure ML or equivalent, and readiness for Snowflake-based workflows.
- Containerization and orchestration experience (Docker, Kubernetes).
- Strong understanding of model governance and reproducibility.
- Feature store experience.
- Exposure to agentic AI or LLM operations.
- Infrastructure-as-code experience.
- Proactive and self-driven, able to take ownership and move work forward without waiting to be told.
- AI-enabled in day-to-day work, comfortable using AI tools and copilots to accelerate delivery and quality.
- Strong self-learner who stays current with evolving tools, platforms, and practices.
- Good team player who collaborates well across engineering, operations, and stakeholder groups.
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