Job Description: AWS DevOps/MLOps Engineer (Agentic AI – AWS) – 6+ Years.
Role: DevOps MLOps Engineer
Work Experience: 6+ years
Work Hours: 11:00 to 8:00 pm IST
Duration: 6 months (Extension possible)
About the Role
We are looking for a talented AWS DevOps/MLOps Engineer to support our Agentic AI initiative. This role will focus on designing, automating, and maintaining scalable infrastructure and ML workflows in AWS.
Key Responsibilities
· Design and manage AWS infrastructure (VPC, EC2, ECS/EKS, S3, IAM, Lambda, Step Functions, CloudFormation/Terraform).
· Build and maintain CI/CD pipelines for AI/ML models, data pipelines, and applications.
· Implement MLOps practices (versioning, automated training, testing, deployment, and monitoring of ML models).
· Work with AWS SageMaker for model training, deployment, monitoring, and drift detection.
· Automate data and ML workflows using tools like Airflow, Step Functions, or Kubeflow.
· Enable observability and monitoring with CloudWatch, Prometheus, Grafana, or similar tools.
Pay: ₹90,000.00 - ₹150,000.00 per month
Work Location: Remote
