Title: Pfizer AI Enabled Engine

Description: Pfizer’s AI enabled engine is the core of an adaptable framework based on reasoning models, designed to serve diverse Pfizer business units in R&D addressing various use cases. The core model integrates multiple layers of large language models (LLMs) with an advanced knowledge graph system. This knowledge graph dynamically interacts with Retrieval-Augmented Generation (RAG) modules, which are customized to meet the unique needs of each business unit and use case. It operates in a Mixture of Experts (MoE) framework. The reasoning model incorporates a chain-of-thought (CoT) methodology, enabling robust problem-solving capabilities across Pfizer’s ecosystem.

Required Skills & Traits:

Expertise in large language models (LLMs)

Knowledge of advanced knowledge graph systems

Familiarity with Retrieval-Augmented Generation (RAG) modules

Understanding of Mixture of Experts (MoE) frameworks

Ability to integrate models into customized business applications

Expected Outcomes:

Streamlined operations for Pfizer’s multiple business units

Efficient handling of complex problem-solving scenarios through advanced reasoning models

Tailored solutions for different Pfizer departments based on specific use cases

Improved adaptability and dynamic response to varying application needs

Specific courses required for project execution:

Advanced Python Programming

LLM GenAI

Pfizer Healthcare India Pvt.Ltd

Station Overview

Project 1

Regulatory requirement on Small molecules/Biologics/Vaccines & Medical devices

Project 2

Pfizer AI Enabled Engine

Project 3

SAP Automator