Machine Learning Engineer

Take models from notebook to production: fraud detection, demand forecasting, predictive maintenance and clinical risk scoring." , responsibilities:Build , train and validate models against real client datasetsEngineer features and maintain reproducible training pipelinesDeploy models with monitoring for drift and degradationWork with domain experts to make model outputs actionable"],requirements:3+ years building production machine learning systemsStrong Python plus PyTorch or TensorFlowSolid grounding in statistics and honest model evaluationExperience with MLOps tooling and model deployment"]}

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