Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content understanding, with a strong focus on TensorFlow-based development.

Build and maintain scalable data pipelines to support feature engineering and model training across large structured and unstructured datasets, leveraging cloud‑native tooling.

Production Deployment:

Deploy, monitor, and maintain ML models in production environments, including cloud‑based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance.

Lead A/B testing and offline experimentation to evaluate model performance and guide ongoing improvement.

Cross‑Functional Collaboration:

Work closely with engineering, product, data, and research teams to ensure ML solutions align with product and business goals.

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