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 Data Scientists and Engineers to automate model retraining and ensure security compliance across cloud infrastructure.
Air Products seeks motivated professionals to innovate solutions for global energy and environmental sustainability challenges while ensuring safety and diversity.
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 implementation
Nice-to-have
Experience with c3.ai platform
Master's degree in Computer Science
Strong problem-solving abilities
Collaboration with enterprise architects
Attention to detail in fast-paced environments
Key Requirements
Bachelor's Degree in Computer Science or Engineering
Minimum 3 years of Infrastructure as Code experience