Description

You will design and implement infrastructure and pipelines to support machine learning lifecycles.

This role is remote.

Responsibilities

• Build and maintain automated CI/CD pipelines for machine learning models.
• Provision cloud infrastructure using code to support ML workloads.
• Deploy and scale machine learning models within cloud environments.
• Manage containerized workloads using orchestration tools.

Required Skills

• 5+ years of professional experience in technical roles.
• Strong programming proficiency in Python or Java.
• Hands-on experience with AWS services including S3, EC2, Lambda, Glue, and SageMaker.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Proficiency with Docker and Kubernetes for containerization and orchestration.
• Experience implementing CI/CD workflows using Jenkins, GitLab CI/CD, or CircleCI.
• Knowledge of Infrastructure-as-Code tools like Terraform or CloudFormation.
• Bachelor's degree or equivalent graduate-level education.

Key Skills

Education

Any Gradute