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!