Manager - MLOps

LenDenClub

6 - 9 years

8 - 11 Lacs

mumbai

Posted:8 hours ago| Platform:

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Skills Required

kubernetes continuous integration cd python natural language processing sql tuning pyspark ci/cd aws sagemaker aws cloudformation eks machine learning sql docker data bricks amazon ec2 ecs lambda expressions jenkins terraform aws etl governance

Work Mode

Work from Office

Job Type

Full Time

Job Description

Manage full ML lifecycle: data prep, feature pipelines, training, deployment, monitoring and retraining automation and model governance.
Design and implement CI/CD pipelines with Docker, Kubernetes/ECS, Terraform/CloudFormation.
Build scalable ETL/ELT workflows (batch & streaming) using PySpark, Airflow, SQL tuning & partitioning.
Develop model retraining triggers using monitoring signals (data drift, concept drift, performance decay).
Implement end-to-end observability for model/API health (Prometheus, Grafana, ELK, CloudWatch).
Optimize AWS infra costs with autoscaling, spot instances, and efficient storage.

Requirements

Strong expertise in AWS (S3, EKS/ECS, Lambda, SageMaker, Step Functions).

Hands-on with Databricks, PySpark, advanced SQL, and workflow orchestration (Airflow/Prefect).

Proven experience in scalable model serving (TF Serving, TorchServe, KServe).

Deep understanding of monitoring, retraining strategies and infra governance.

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