About this role
Build the data and MLOps infrastructure that keeps the company’s AI products reliable at scale, including data pipelines, feature stores and model-serving infrastructure. This is a full-time, remote role based in India.
Responsibilities
- Design batch and streaming data pipelines.
- Automate model training, deployment and monitoring workflows.
- Own data quality, lineage and observability.
Requirements
- 3+ years of experience.
- Strong Python and SQL skills; experience with Airflow, dbt or similar tools.
- Experience with cloud data warehouses and containers.
- Familiarity with MLOps tools, including MLflow, Docker and Kubernetes.
Compensation: ₹10 L – ₹24 L per year (CTC). The final offer depends on experience and interview performance.
Skills for this role
PythonSQLAirflowdbtCloud data warehousesContainersMLflowDockerKubernetesBatch data pipelinesStreaming data pipelinesData qualityData lineageObservabilityFeature storesModel serving