Location: Bengaluru, Chennai, Gurgaon
Work Mode: Hybrid – 10 days onsite, remaining remote
Shift: UK Shift
Experience: 5+ years
Work Pattern: 10 days onsite + remaining days remote | UK Shift
Role Overview
We are looking for a Senior MLOps / Production Support Engineer with strong hands-on experience in AWS, SageMaker, CI/CD and DevOps. The role involves supporting production ML systems, troubleshooting incidents, managing deployments and ensuring reliability of AWS-based environments.
Key Responsibilities
Provide L2/L3 production support for ML applications and AWS services.
Monitor systems, troubleshoot incidents and perform RCA.
Manage ML model deployments and environments using Amazon SageMaker.
Build and maintain CI/CD pipelines and automate deployment processes.
Work with AWS services including S3, EC2, Lambda, IAM, CloudWatch, ECR/ECS/EKS.
Support model monitoring, versioning,
rollback and production releases.
Collaborate with ML, Data, Software and DevOps teams to resolve production issues.
Create runbooks and improve automation, reliability and operational efficiency.
Must-Have
5+ years in Production Support / MLOps / DevOps / Cloud Engineering.
Strong AWS experience.
Hands-on Amazon SageMaker experience.
Strong CI/CD and DevOps knowledge.
Python and/or Shell scripting.
Linux, Git, monitoring and troubleshooting.
Robust incident management and RCA skills.
Excellent communication skills for working with UK stakeholders.
Good to Have
Docker, Kubernetes, Terraform
MLflow / ML monitoring
Airflow
AWS networking and IAM
SQL and database knowledge
ITIL / production support experience