Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Deploy models to production environments, ensuring robustness and scalability. Monitor model performance and define strategies for identifying drift; retrain or refine models as needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes Your Profile Essential skills/knowledge/experience: Good experience in AI/ML development and data science. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (eg, TensorFlow, ..... full job details .....