Data Science Architect (Senior)

Job Description

Roles & Responsibilities

Core Skills

• Expertise in NLP and Generative AI concepts/methods/techniques like

Prompt design/engineering

Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o

Fine-tuning through LORA/QLORA

Multi-agentic frameworks for RAG

Reranker etc. for enhancing the plain-vanilla RAG

• Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP).
• Exposure to Big Data technologies like Hadoop, Hive, Spark.
• Experience with advanced reporting tools such as Tableau, Qlikview, or PowerBI.

• 14-16 Years

• Primary Skill: Data Science
• Sub Skill(s): Data Science
• Additional Skill(s): Python, Data Science

About The Company

We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krakw, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.