AWS DevOps/MLOps Engineer – Agentic AI | Remote | Contract

Experience: 6+ Years
Location: Remote
Employment Type: Contract

We are looking for an experienced AWS DevOps/MLOps Engineer to support our Agentic AI initiatives and build scalable, automated ML infrastructure.

Key Responsibilities:

- Design and manage AWS infrastructure: EC2, ECS/EKS, S3, IAM, Lambda, VPC, Step Functions.
- Build CI/CD pipelines for AI/ML applications and models.
- Implement MLOps practices including model training, deployment, versioning, monitoring, and drift detection.
- Work with AWS SageMaker for ML workflows.
- Automate workflows using Airflow, Step Functions, or Kubeflow.
- Implement monitoring using CloudWatch, Prometheus, and Grafana.
- Use Terraform/CloudFormation for infrastructure automation.

Required Skills: AWS, Kubernetes/EKS, Docker, Terraform, CI/CD, SageMaker, Python/Bash, Airflow/Step Functions, CloudWatch, Prometheus/Grafana.

Valuable to Have: Experience with Generative AI, Agentic AI, LLMOps, and AWS Bedrock.

Pay: ₹70,000.00 - ₹80,000.00 per month

Work Location: Remote

📌 AWS DevOps/MLOps Engineer – Agentic AI | Remote | Contract (India)
🏢 SAPLING INFOSYSTEMS
📍 India