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

📌 AWS DevOps Engineer (India)
🏢 Shreem Talent Bridge
📍 India