Description

You will engineer and operate the MLOps platform components across AWS and EKS environments.

This role is on-site.

Responsibilities

• Manage and support MLOps platform components across AWS and EKS infrastructure.
• Oversee deployment, configuration, and operation of infrastructure for ML training, batch inference, and real-time serving.
• Build and support CI/CD pipelines using GitLab for model packaging, image builds, and automated deployment.
• Implement logging, monitoring, and alerting for ML pipelines, endpoints, and platform components.
• Partner with Data Scientists and ML Engineers to operationalize end-to-end machine learning solutions.

Required Skills

• 3+ years of hands-on experience with AWS services, including EKS, EC2, S3, IAM, CloudWatch, and ECR.
• Strong experience operating and troubleshooting Kubernetes, preferably AWS EKS.
• Proficiency in containerization using Docker and orchestration concepts.
• Strong programming and scripting experience in Python and Bash.
• Experience building and managing CI/CD pipelines using GitLab or equivalent.
• Experience with infrastructure-as-code using Terraform or CloudFormation.
• Familiarity with machine learning workflows, including training, inference, and model monitoring.
• Experience supporting production platforms, including incident management and root cause analysis.

Key Skills

Education

Any Gradute