SKILLS, QUALIFICATIONS & EXPERIENCE

• Advanced degree (Masters or PhD) in Computer Science, Data Science, Artificial Intelligence, Engineering, or related technical field
• Comprehensive knowledge of machine learning algorithms, neural network architectures, deep learning frameworks, and Large Language Models. Proven ability to develop, train, and optimise models for production environments
• Strong foundation in statistics, feature engineering, and experimental design. Ability to transform business problems into well-defined data science problems with appropriate evaluation metrics
• Expertise in designing robust deployment frameworks for machine learning models / large language models, monitoring solutions, and performance optimisation.
• Experience establishing best practices, conducting code reviews, and mentoring others in AI/ML development. Ability to evaluate emerging technologies and research for practical business applications
• Demonstrable experience leading successful AI/ML and data science projects from conception through to implementation, with measurable business impact and user adoption.
• Experience in developing, operationalising and commercialising data-driven products or solutions, particularly those leveraging AI/ML technologies

Please refer the Job description for details