A leading technology company is seeking an experienced MLOps/ML Engineer for their team in Varanasi, Uttar Pradesh, India. The role demands over 6 years of experience managing production ML/AI workflows and requires expertise in AWS services like SageMaker and Docker. Candidates should have practical experience with CI/CD for ML, along with strong communication skills. Join us to contribute to deploying reliable machine learning solutions in a collaborative environment.
Qualifications
6+ years in MLOps/ML Engineering running production ML/AI workflows.
Strong AWS knowledge, particularly with SageMaker and its various services.
Excellent knowledge of machine learning and analytic pipeline implementation.
Skills
MLOps/ML Engineering
AWS SageMaker
Docker
Python
CI/CD
Job description
Qualifications
6+ years in MLOps/ML Engineering running production ML/AI workflows.
Strong AWS: SageMaker pipeline and Jobs, Step Functions, ECR, CloudWatch, Lambda functions, Event bridge, DynamoDB and DAX; solid Docker and Python.
Excellent knowledge of Machine learning and analytic pipeline implementation and deployment into production using AWS services specially SageMaker.
Proven experience with batch ML pipelines, artifact management, and environment promotion.
CI/CD for ML (GitHub Actions or similar) and Terraform and Spacelift for repeatable deployments.
Monitoring, logging, and cost management for cloud ML workloads.
Clear communication and partnership with DE/DS to ship reliable releases.