The role involves designing, developing, and deploying innovative artificial intelligence solutions to drive business impact. The individual will lead the development of advanced analytics and generative AI-driven solutions across various business functions such as supply chain optimization, demand forecasting, and customer segmentation. Responsibilities include architecting and training generative models, including large language models and transformer-based systems. The position requires building predictive and optimization models using both structured and unstructured data. Furthermore, the role entails managing the full model lifecycle from research and experimentation through to production deployment and monitoring.

The role requires four to six years of hands-on experience in data science or machine learning. Candidates must possess expertise in generative AI, large language models, natural language processing, and deep learning architectures. Proficiency in Python and machine learning frameworks such as TensorFlow and PyTorch is necessary, along with experience in model deployment. A degree in computer science, data science, AI, statistics, or a related field is required, with a preference for a master's or PhD.