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MLOps Engineer
Mumbai · Mid Level
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What we know about this role
MEDIUM
LenDenClub is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
First 72 hours
Still inside it - posted 1h agoEarly applicants get seen before the pile builds.
Reposted role
This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.
First posted Sep 1, 2026
Skills required
14 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
- Own the full ML lifecycle: data prep, feature pipelines, training, deployment, monitoring and automated retraining.
- Build and maintain CI/CD pipelines for ML with containerized deployments (Docker, Kubernetes).
- Design scalable data/ETL workflows (batch & streaming) using PySpark and a workflow orchestrator (e.g., Airflow).
- Set up a feature store and model registry for reproducible, governed model delivery.
- Implement model monitoring and drift detection (data drift, concept drift, performance decay) and trigger retraining.
- Build observability for model and API health — metrics, logs, alerts, dashboards.
- Optimize cloud/infrastructure costs (autoscaling, spot instances, right-sizing) and track cost per model.
- Enforce ML governance — versioning, lineage, audit logs, and compliance requirements.
- Experience with streaming data (Kafka / Flink).
- Familiarity with feature stores (e.g., Feast).
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