Senior AI Governance Engineer @ Capgemini
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Your profile 5 years as a machine learning engineer, MLOps engineer or data scientist with production experience; strong Python.
Hands-on experience with MLflow or a comparable model lifecycle tool, and with at least one cloud ML platform (Databricks, Azure ML, SageMaker, Vertex AI).
Experience testing and evaluating models and LLM applications: fairness and bias libraries (e.g., Fairlearn, AIF360), evaluation and monitoring tools (e.g., Evidently, Giskard, LangSmith, Azure AI Content Safety). …
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