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AI & Automation

Machine Learning Engineer

Train, evaluate, and deploy models that sit inside operational decision systems.

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Own the ML lifecycle for selected problem spaces: data pipelines, training, evaluation, deployment, and monitoring — with a bias to models that change a business metric.

Requirements

  • Four or more years ML engineering or applied ML in production
  • Strong Python, PyTorch or TensorFlow, and experiment tracking discipline
  • Experience deploying models behind APIs or batch jobs

Nice to have

  • Computer vision or time-series experience
  • Feature stores and MLOps tooling
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