Senior MLOps Engineer

Location : Noida / Indore (Hybrid)

Experience : 4–12 years

Employment Type : Full-time

We are seeking an experienced Senior MLOps Engineer to design, automate, and operate production-grade ML / AI pipelines that power our marketing analytics and real-time optimization platforms.

Key Responsibilities Partner with Data Scientists to convert research models into scalable production workflows.

Build & operate ML pipelines on AWS SageMaker, Step Functions, ECS / Lambda, ECR, S3 .

Implement batch processing, caching, and low-latency services with DynamoDB + DAX .

Manage CI / CD for ML (GitHub Actions, Terraform) across environments.

Enable monitoring, alerting, and cost optimization with CloudWatch .

Ensure security best practices (IAM, encryption, private networking).

Required Skills 6+ years in MLOps / ML Engineering with production ML workflows.

Strong expertise in AWS ML stack (SageMaker, Step Functions, Lambda, ECS, DynamoDB, DAX) .

Proficiency in Python, Docker, CI / CD, Terraform / GitHub Actions .

Solid experience in model deployment, monitoring, and cost management .

Strong collaboration with Data Science & Engineering teams.

Why Join Us? Opportunity to own end-to-end MLOps in a data-driven environment.

Work with cutting-edge AWS ML / AI solutions at scale.

Collaborative, growth-focused culture with real impact on analytics-driven decisions.

Apply now and be part of our journey to build reliable, secure, and scalable ML pipelines!