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 solutionsEvaluate predictive models, LLMs, and Generative AI applicationsConduct fairness, bias, and disparate impact assessmentsDevelop explainability capabilities using SHAP, LIME,



and model cardsImplement monitoring, drift detection, observability, and AI risk controlsRequirements:
Seven or more years supporting production machine learning solutionsBachelor's degree or equivalent technical experiencePython, CI/CD, and CLI or scripting experiencePyTorch, scikit-learn, and production data pipeline experienceCloud infrastructure experience with Azure or AWSApply responsible AI engineering, model governance, and production machine learning expertise to McKesson healthcare solutions.
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📌 Senior Responsible Ai Engineer (Winnipeg)
🏢 McKesson Medical-Surgical
📍 Winnipeg