As a seasoned AI professional, you'll be at the forefront of enterprise innovation, driving cutting-edge machine learning solutions. You will work on full project lifecycles, deploying and managing solutions within our MLOps platform. This role involves end-to-end ML engineering, ensuring comprehensive approaches to enterprise solutions.
Key Responsibilities:
* Collaborate with business leadership and Data Science teams to design, build, and deliver ML models that tackle real-world business challenges.
* Utilize your deep understanding of ML techniques to inform infrastructure choices, considering model types, data selection, hyperparameter tuning, and validation.
* Write and test application code, develop and validate ML models, and automate testing and deployment processes to tackle complex problems.
* Retrain, maintain, and monitor models in production, ensuring they perform optimally and adapt to changing data landscapes.
* Leverage cloud-based architectures to deliver scalable and efficient ML models.
* Develop optimized data pipelines to support ML models with high-quality data in collaboration with data engineering.
* Implement continuous integration and deployment best practices, including test automation and monitoring, to ensure successful model deployments.
* Manage code to minimize vulnerabilities, govern models from a risk perspective, and adhere to Responsible and Explainable AI principles.
Requirements:
* 4+ years programming experience with Python. Rust and C++ are nice to have.
* 3+ years designing and building data-intensive solutions with distributed computing.
* 2+ years with industry-recognized ML frameworks (scikit-learn, PyTorch, TensorFlow, Spark, Ray).
* 1+ year productionizing, monitoring, and maintaining models.
Benefits:
At McKesson, we offer a competitive compensation package, which includes base pay and potential bonus opportunities. Our Total Rewards package also provides benefits to support physical, mental, and financial well-being.
What We Offer:
We care about the well-being of our people and offer a supportive work environment. As part of our team, you'll have access to comprehensive benefits, ongoing training and development opportunities, and a chance to work with experienced professionals in the field.