Director (Advanced Analytics, GenAI)
15 hours ago
Director / Associate Director (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 work—guided by the firm's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—make 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 a range of advanced technology and analytics-driven services to clients, including:
Data & Applied Intelligence
– Helping clients harness the power of data and cutting-edge analytics to drive intelligent decision-making and business transformation.
Product and Innovation
– Empowering clients to innovate, design, and launch products that drive growth and competitive advantage.
Technology M&A and Strategy
– Assisting clients in managing the technology aspects and business enablement of complex mergers, integrations, and carve-outs.
Technology Transformation
– Supporting clients in building scalable, cost-effective IT functions aligned with strategic goals and organizational priorities.
Role Overview – How You Will Contribute
- Develop and implement AI models and pipelines, leveraging Large Language Models (LLMs) to address 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
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 design tailored AI-driven solutions.
- Stay up to date 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, working with
LLMs and Generative AI models
across industries such as CPG, Retail, and Supply Chain (e.g., customer churn/retention, route optimization, inventory planning, market mix modeling, etc.). - 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, with the ability to translate complex business challenges into effective AI solutions.
- Strong communication and presentation skills, with the ability to collaborate with stakeholders and articulate technical results effectively.
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