Director (Advanced Analytics, GenAI)

In this role as a Director / Associate Director (Advanced Analytics & GenAI) at the global consulting firm, you will be contributing to the organization's mission of solving clients" problems and helping them achieve their full potential by developing and implementing AI models and pipelines using Large Language Models (LLMs) to address business needs. Your responsibilities will include designing and deploying machine learning solutions on Azure, utilizing Python for data preprocessing and model development, building REST APIs with Flask, containerizing models with Docker, collaborating with cross-functional teams, and staying updated on the latest advancements in Generative AI, LLMs, and cloud technologies. You will also be optimizing models for accuracy, performance, and inference speed using real-time data. Key Responsibilities: - Develop and implement AI models and pipelines leveraging Large Language Models (LLMs) for addressing business needs - Design and deploy machine learning solutions on Azure ensuring high performance, scalability, and reliability - Utilize Python for data preprocessing, model development, and experimentation - Build and integrate REST APIs using Flask for enabling seamless model access for other applications - Containerize models and applications with Docker for streamlining deployment and improving portability - Collaborate with cross-functional teams to understand project goals and design tailored AI-driven solutions - Stay updated on the latest advancements in Generative AI, LLMs, and cloud technologies - Optimize models for accuracy, performance, and inference speed using real-time data Qualifications: - Minimum 11 years of experience in data science with expertise in LLMs and Generative AI models in industries such as CPG, Retail, and Supply Chain - Hands-on experience deploying AI/ML models on Azure and using cloud-based tools - Strong proficiency in Python including data manipulation, model building, and performance evaluation - Experience with Dockerization for deploying and managing AI applications - Knowledge of Flask for building lightweight APIs for model integration - Excellent problem-solving skills translating complex business challenges into effective AI solutions - Strong communication and presentation skills for collaborating with stakeholders and articulating technical results effectively,