ML Engineer

📋 Description

• Design, train, and optimise machine learning models focused on user personalisation, including
• Construct and maintain robust, scalable data pipelines for feature engineering and model training
• Deploy and supervise machine learning models in production environments, ensuring high
• Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and
• Engage with multidisciplinary teams to align machine learning initiatives with business objectives
• Evaluate emerging research in machine learning, deep learning, and personalisation for potential

🎯 Requirements

• Strong experience developing and optimising machine learning models for user personalisation.
• Expertise across recommendation engines, ranking algorithms, user segmentation, and content
• Experience constructing and maintaining scalable data pipelines for feature engineering and model
• Experience working with both structured and unstructured large-scale datasets.
• Experience deploying and supervising machine learning models in production environments.
• Strong understanding of A/B testing and offline experimentation for evaluating model efficacy and