Description

You will build and maintain the machine learning deployment infrastructure.

Responsibilities

• Own the implementation and management of CI/CD pipelines for ML models.
• Deploy and manage containerized workloads using Kubernetes and Docker.
• Automate infrastructure provisioning using Terraform for IaC.
• Implement and maintain solutions within the AWS ecosystem (EC2, S3, SageMaker, EKS).
• Apply MLOps principles to productionize machine learning models at scale.

Required Skills

• 8+ years of professional DevOps experience.
• 8+ years of experience building and managing CI/CD pipelines.
• 2+ years of professional MLOps experience.
• 5+ years of expertise in the AWS ecosystem (EC2, S3, RDS, Lambda, SageMaker, EKS).
• 5+ years of experience with Docker and Kubernetes.
• Hands-on experience with Terraform for IaC.
• Knowledge of scripting in YAML, JSON, Shell, Bash, and Python.
• 5+ years of professional experience with GitHub or similar code repositories.
• Solid understanding of MLOps principles and model deployment challenges.

Key Skills

Education

Any Gradute