Description

You will build and maintain the underlying infrastructure required to support machine learning workflows.

This role is on-site.

Responsibilities

• Build and manage machine learning infrastructure components.
• Implement and maintain CI/CD pipelines for automated deployments.
• Manage containerized workloads using orchestration tools.
• Provision and manage cloud resources using infrastructure-as-code.

Required Skills

• 5+ years of experience in Machine Learning engineering or Infrastructure roles.
• Proficiency in Python and Java.
• Strong experience with Google Cloud Platform (GCP).
• Experience with containerization using Docker and Kubernetes.
• Hands-on experience with Terraform for infrastructure provisioning.
• Familiarity with machine learning frameworks including TensorFlow and PyTorch.
• Practical knowledge of scikit-learn.
• Experience implementing DevOps principles and CI/CD pipelines.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Experience with big data technologies such as Apache Spark or Hadoop.

Key Skills

Education

Any Graduate