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Remote
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Yesterday
Own end-to-endML/AIprojects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration. Build and productionize agentic workflows (tool-using/multi-step agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.Train classicalMLmodels (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.Operationalize models with CI/CD, feature stores, reproduci
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Contract
55 - 65
