AWS DevOps/MLOps Engineer – Agentic AI | Remote | Contract
- Source: Indeed
- SAPLING INFOSYSTEMS
- Remote
- India
- Mid level
Job Description
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.
Good to Have: Experience with Generative AI, Agentic AI, LLMOps, and AWS Bedrock.
Pay: ₹70,000.00 - ₹80,000.00 per month
Work Location: Remote
Skills
- amazon-web-services
- amazon-ec2
- amazon-ecs
- amazon-eks
- amazon-s3
- aws-iam
- aws-lambda
- amazon-vpc
- google-vpc
- aws-step-functions
- drift
- amazon-sagemaker
- Airflow
- apache-airflow
- kubeflow
- amazon-cloudwatch
- Prometheus
- Grafana
- Terraform
- Kubernetes
- Docker
- Python
- bedrock
