Lead responsible AI engineering at McKesson with Python, machine learning, and Generative AI expertise across production environments. Build secure, explainable systems. As a Senior AI/ML Engineer, you will develop, evaluate, govern, and operationalize scalable machine learning solutions. The work spans model validation, AI risk management, fairness assessments, explainability, safety testing, monitoring, and production deployment. You will partner with engineering, product, security, and governance teams. Key Responsibilities:

Design, develop, test, and deploy machine learning solutions Evaluate predictive models, LLMs, and Generative AI applications Conduct fairness, bias, and disparate impact assessments Develop explainability capabilities using SHAP, LIME,



and model cards Implement monitoring, drift detection, observability, and AI risk controls Requirements:

Seven or more years supporting production machine learning solutions Bachelor's degree or equivalent technical experience Python, CI/CD, and CLI or scripting experience PyTorch, scikit-learn, and production data pipeline experience Cloud infrastructure experience with Azure or AWS Apply responsible AI engineering, model governance, and production machine learning expertise to McKesson healthcare solutions.

📌 Senior Responsible AI Engineer (Winnipeg)
🏢 McKesson Medical-Surgical
📍 Winnipeg