McKesson, a Fortune 10 healthcare company, is seeking a Senior Machine Learning Engineer to lead the development of their Enterprise MLOps Platform. This role is crucial in supporting machine learning projects across various business units and involves working with cutting-edge technologies including large language models (LLMs) and pretrained models for multiple data types.
The position offers an opportunity to make a significant impact in healthcare through AI and machine learning applications. As a Senior ML Engineer, you'll be responsible for developing and deploying sophisticated machine learning solutions using Databricks and Azure Cloud, while working closely with cross-functional teams to deliver measurable business outcomes.
Key aspects of the role include implementing end-to-end automation pipelines, ensuring scalability and reliability of ML solutions, and providing expert consulting to business units. The ideal candidate will bring strong technical expertise in Python, ML frameworks, and cloud services, combined with excellent collaborative skills.
McKesson offers a competitive compensation package ranging from $155,600 to $259,300, along with comprehensive benefits. The position is fully remote, offering flexibility while working with cutting-edge technologies in healthcare. The company's culture emphasizes growth, impact, and innovation, making it an ideal environment for ML professionals looking to shape the future of healthcare through technology.
Requirements include 7+ years of ML engineering experience, strong programming skills, and expertise in MLOps tools and cloud services. The role demands both technical excellence and business acumen, as you'll be translating complex requirements into effective ML solutions that drive business value.
Join McKesson to be part of an organization that touches virtually every aspect of healthcare, where your work will directly contribute to making quality care more accessible and affordable. The company's commitment to innovation and technology advancement makes this an exciting opportunity for ML professionals looking to make a meaningful impact in healthcare.