Description

Engineer and support the Machine Learning Ops platform across AWS and EKS environments, owning the infrastructure for training, batch inference, and real-time serving.

This role is on-site.

Responsibilities

• Oversee deployment and operation of ML infrastructure, including environment promotion, versioning, and rollback.
• Build and maintain CI/CD pipelines using GitLab for model packaging, image building, scanning, and automated deployment.
• Design and manage EKS workloads to support containerized ML jobs and microservices.
• Implement logging, monitoring, and alerting for ML pipelines, model endpoints, and platform components.
• Support production platforms through incident management and root cause analysis.

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 and scripting skills in Python and Bash.
• Experience building and managing CI/CD pipelines (GitLab or equivalent).
• Familiarity with machine learning workflows including training, inference, and model monitoring.
• Experience with infrastructure-as-code using Terraform or CloudFormation.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Experience supporting production platforms in a high-availability environment.

Key Skills

Education

Bachelor's degree