Manager (Advanced Analytics, GenAI)

Manager (Advanced Analytics & GenAI, DTS)

About the Organization

The organization is a global consulting firm with over 10,000 entrepreneurial, action- and results-oriented professionals across more than 40 countries. It takes a hands-on approach to solving clients problems and assisting them in reaching their full potential. The culture celebrates independent thinkers and doers who make a positive impact on clients and shape the consulting industry. A collaborative environment and engaging workguided by the firm's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversitymake it an inspiring place to work.

About the Global Capability Center (GCC)

Established in 2023, the organization's high-quality global capability center in India serves as a dedicated hub of excellence. The GCC works closely with leadership teams across multiple business units and geographies to enable efficient and high-impact service delivery to clients worldwide.

The GCC is designed to scale delivery capabilities efficiently and innovatively. It helps global business units expand their talent pool in India, attract specialized professionals, maintain competitive pricing, accelerate delivery through hybrid onshore-offshore models, and leverage automation with top-tier digital and analytics expertise.

The GCC serves all major markets, including the Americas, EMEA, and APAC, across a wide range of industries such as Consumer & Retail, Healthcare, Software & Technology, Automotive & Industrials, Hospitality & Leisure, Energy & Natural Resources, and Financial Services.

The Team Digital Technology Solutions (DTS)

The DTS team provides the following services to clients:

Data & Applied Intelligence

Product and Innovation

Technology M&A and Strategy

Technology Transformation

How You Will Contribute

• Develop and implement AI models and pipelines, leveraging LLMs to address business needs.
• Design and deploy machine learning solutions on Azure, ensuring performance, scalability, and reliability.
• Use Python for data preprocessing, model development, and experimentation.
• Build and integrate REST APIs using Flask to enable seamless model access for other applications.
• Containerize models and applications with Docker to streamline deployment and improve portability.
• Collaborate with cross-functional teams to understand project goals and create custom AI solutions.
• Stay updated on the latest advancements in Generative AI, LLMs, and cloud technologies.
• Optimize models for accuracy, performance, and inference speed based on real-time data.

Qualifications

• 8+ years of experience in data science, working with LLMs and Generative AI modelsacross CPG, Retail, Supply Chain, etc. (e.g., customer churn/retention, route optimization, inventory planning, market mix modelling).
• Hands-on experience deploying AI/ML models on Azure and using cloud-based tools.
• Proficiency in Python, with experience in data manipulation, model building, and evaluation.
• Experience with Dockerization for deploying and managing AI applications.
• Knowledge of Flask to build lightweight APIs for model integration.
• Strong problem-solving skills with the ability to translate business challenges into AI solutions.
• Strong communication skills to work with stakeholders and present technical results effectively.