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Lenden Club Techserve
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MLOps Engineer

MLOps Engineer

Lenden Club Techserve

6 - 9 years

|

25 - 35 Lacs

Posted:18 hours ago| Platform:

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Skills Required

model monitoring airflow orchestration pyspark ci cd pipeline docker kubernetes

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview

We are seeking an experienced MLOps Engineer to architect, automate, and govern ML model operations across the entire lifecycle at scale.

Responsibilities:

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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