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AutoThink Group is seeking an experienced ML engineer to take models from notebook to production, ensuring health and performance across deployments. You will work on forecasting, ranking and classification models shipped weekly, building feature stores, training pipelines and evaluation harnesses.
Expect drift monitoring, automatic retraining loops, and fine-tuning/distillation for high-volume LLM paths, applying both classical ML and modern deep learning approaches with a strong emphasis on
You take models from notebook to production and keep them healthy. From classical ML to modern LLM fine-tunes, you know what to reach for, what to skip, and how to measure whether it's working.