Build the data and MLOps backbone — pipelines, feature stores, and model-serving infra that keep our AI products reliable at scale.
Compensation: ₹10 L – ₹24 L per year (CTC). Final offer depends on experience and interview performance.
What you'll do
- Design batch and streaming data pipelines
- Automate training, deployment, and monitoring workflows
- Own data quality, lineage, and observability
What we're looking for
- Robust Python and SQL; Airflow/dbt or similar
- Experience with cloud data warehouses and containers
- Familiarity with MLOps tooling (MLflow, Docker, Kubernetes)