Generative AI Lead

Technical Skills

- Required:

Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research.
7-10 years of experience in the Analytics/Data Science/Software Development domain.
Proficiency in programming languages such as Python.

Experience with Generative AI techniques and tools.

Experience with semantic graph concepts and Knowledge Graph
Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.
Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services.

· Proven experience designing and implementing AI/ML solutions in production environments.

· Strong knowledge of agentic application architectures, tools, and frameworks.

· Experience delivering AI-driven automation, workflow optimization or intelligent product enhancements.

· Expertise in knowledge base creation, context engineering, and MCP tools integration.

· Excellent communication and stakeholder management skills across business and technical teams.

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).
Good understanding of issues such as scalability, performance and reliability for data processing pipelines and distributed applications