Description

You will engineer, manage, and support the Machine Learning Ops platform across AWS and EKS environments.

Responsibilities

• Oversee deployment, configuration, and operation of infrastructure for ML training, batch inference, and real-time serving.
• Build and support CI/CD pipelines (GitLab) for model packaging, image building, scanning, and automated deployment.
• Enable standardized model release processes, including environment promotion, versioning, and rollback.
• Design and manage EKS workloads supporting containerized ML jobs and microservices.
• Implement logging, monitoring, and alerting for ML pipelines, model endpoints, and platform components.

Required Skills

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

Key Skills

Education

Bachelor's degree