Description

Build and maintain the underlying infrastructure required to support machine learning workloads.

Responsibilities

• Design and implement ML infrastructure to support model development and deployment.
• Build and manage CI/CD pipelines using DevOps principles and Terraform.
• Manage containerized environments using Docker and Kubernetes.
• Optimize data processing workflows using big data technologies.

Required Skills

• 5+ years of experience in Machine Learning engineering or infrastructure roles.
• Proficiency in Python and Java.
• Experience with cloud platforms (AWS, Azure, or GCP), with a strong preference for GCP.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Knowledge of libraries like scikit-learn.
• Hands-on experience with containerization using Docker and Kubernetes.
• Practical application of DevOps tools and CI/CD pipelines.
• Experience with Terraform for infrastructure as code.

Preferred Skills

• Experience with big data technologies like Apache Spark or Hadoop.

Key Skills

Education

ANY GRADUATE