To be a technology expert architecting and delivering solutions in GenAI with prior expertise in the Pharma domain.
Job Responsibilities
Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT
Software development experience in python is needed as backend for UI based applications
Be a part of large delivery teams working on advanced projects when expert assistance is required.
Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production.
Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms
Can interact with client on GenAI related capabilities and use cases
Education
BE/B.Tech
Master's Equivalent in Statistics
Work Experience
Require 8-15 years experience to develop, test, and deploy Python based applications on Azure platforms
Must have basic knowledge on concepts of Generative AI / LLMs / GPT
Deep understanding of architecture and work experience on Web Technologies
Python, SQL hands-on experience
Good to have Databricks Genie
Design and develop LLM-based systems:
Build and deploy Generative AI solutions, often using frameworks like Langchain and techniques like Retrieval-Augmented Generation (RAG).
Model development and fine-tuning: Train, fine-tune, and refine large language models to meet specific business requirements or improve performance on particular tasks.
Integration: Collaborate with cross-functional teams to integrate LLM models into broader applications and products.
Prompt engineering: Develop and implement effective prompts to guide the LLM and improve the accuracy and relevance of its outputs.
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