● Collect, clean, and preprocess large datasets from various sources, and analyse them using statistical methods and to train and evaluate Machine Learning and deep learning models.● Responsible for designing, developing, and implementing deep learning algorithms and models to solve complex problems in various domains such as computer vision, natural language processing, speech recognition, and recommendation systems.● Collaborate with cross-functional teams to understand business requirements anddevelop machine learning solutions that address real-world problems.● Optimise and fine-tune deep learning models to improve their performance in terms of accuracy, speed, and memory usage.● Conduct experiments and evaluate the performance of ml models using appropriateevaluation metrics and visualisation techniques.● Debug and troubleshoot issues related to deep learning models and propose solutions to improve their performance and reliability.● Stay up-to-date with the latest research and advancements in machine learning, deep learning, AI domain.● Document research findings, methodologies, and technical specifications for internal stakeholders.