AI & Automation
Machine Learning Engineer
Train, evaluate, and deploy models that sit inside operational decision systems.
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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