AI/ML Cloud Engineer - Remote

Overview

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

In Short

• Join a dynamic team as an AI/ML Cloud Engineer.
• Develop and enhance MLOps platform strategy.
• Utilize Terraform and DevOps practices for cloud infrastructure.
• Showcase expertise in Azure cloud services.
• Implement automation scripts and workflows.
• Oversee day-to-day operations of the Machine Learning platform.
• Ensure security and compliance of the MLOps environment.
• Collaborate with data scientists and machine learning engineers.
• Stay updated with Azure features and best practices.
• Contribute to cost optimization strategies.

Requirements

• 7+ years of relevant experience.
• Bachelor’s degree or equivalent experience.
• Strong programming skills in Python.
• Solid understanding of Azure DevOps and Cloud Services.
• Experience in software engineering and large-scale systems.
• Expert knowledge in cloud-native architectures.
• Experience with JIRA, GITHUB, Jenkins, or Azure DevOps.
• Deep understanding of Infrastructure as Code.
• Experience with SQL and NoSQL databases.
• Excellent communication and leadership skills.

Benefits

• Competitive compensation package.
• Annual bonus or long-term incentive opportunities.
• Diverse and inclusive work environment.
• Opportunities for professional growth.
• Access to cutting-edge technology.