The role involves developing and maintaining an MLOps platform to accelerate AI CI/CD pipeline development within a leading industrial gas company
Job Summary
The role involves developing and maintaining an MLOps platform to accelerate AI CI/CD pipeline development within a leading industrial gas company.
Candidates will collaborate with Enterprise Architects, Data Engineers, and Data Scientists to streamline model development and ensure security compliance.
Air Products is seeking committed employees to join a diverse team focused on solving significant energy and environmental sustainability challenges.
Matching Summary
The role involves developing and maintaining an MLOps platform to accelerate AI CI/CD pipeline development within a leading industrial gas company.
Skills & Requirements
Must-have
Python and Bash programming proficiency
AWS cloud services and Terraform experience
CI/CD pipeline development with Jenkins or GitLab
Docker and Kubernetes containerization skills
Infrastructure as Code (IaC) implementation
Nice-to-have
Experience with c3.ai platform
Familiarity with Databricks or Snowflake data lakes
Strong problem-solving in fast-paced environments
Excellent communication and collaboration skills
Key Requirements
Bachelor's degree in Computer Science or Engineering
Minimum 3 years of Infrastructure as Code experience