Data Science Architect (Senior)

Roles & Responsibilities
Core Skills
Technical Skills Desirable

• 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
Evaluation frameworks like G-Eval etc.

• 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.
  

Experience

• 14-16 Years

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Skills

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

About The Company
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. 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.