Description

Design and maintain engineering infrastructure to support enterprise machine learning systems at scale.

This role is remote.

Responsibilities

• Design, build, and optimize applications using Docker and Kubernetes.
• Develop and deploy scalable tools and services for machine learning training and inference.
• Collaborate with data engineers and scientists to containerize and build deployment pipelines for new modules.
• Identify and evaluate technologies to improve performance, maintainability, and reliability of ML systems.
• Support model development with emphasis on auditability, versioning, and data security.

Required Skills

• 8+ years of professional software engineering experience.
• Strong proficiency with Docker and Kubernetes for containerization and orchestration.
• Proficiency with AWS and Azure cloud platforms.
• Experience designing data pipelines and engineering infrastructure.
• Experience building deployment pipelines for machine learning modules.
• Any graduate degree.

Key Skills

Education

ANY GRADUATE