Proven experience as a Machine Learning Engineer (mid–senior), working with end‑to‑end ML systems in production. * Practical experience with ML frameworks such as TensorFlow, scikit‑learn, XGBoost and/or LightGBM, including model training, tuning and deployment * Hands‑on experience with Google Cloud Platform (GCP) services used in ML workloads (e.g., Cloud Storage, BigQuery, Vertex AI, Cloud Functions) * Experience building and maintaining pricing, demand forecasting or other time‑series models in production environments. * Hands‑on experience with Large Language Models, prompt engineering, fine‑tuning or integrating LLMs into production systems.
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