Description

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

Responsibilities

• Design and manage machine learning infrastructure to support model training and deployment.
• Implement DevOps principles using CI/CD pipelines and Terraform.
• Manage containerized workloads using Docker and Kubernetes.
• Solve complex infrastructure problems to ensure system stability and scalability.

Required Skills

• 5+ years of experience in Machine Learning engineering or infrastructure roles.
• Strong proficiency in Python and Java.
• Hands-on experience with Google Cloud Platform (GCP) in recent projects.
• Experience with machine learning frameworks including TensorFlow and PyTorch.
• Deep understanding of containerization technologies like Docker and Kubernetes.
• Practical knowledge of DevOps tools and CI/CD pipelines.
• Experience with Terraform for infrastructure as code.

Preferred Skills

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

Key Skills

Education

Any Graduate