Birlasoft—Generative AI Lead

Job description

Description: Area(s) of responsibility - Job Title: DataScience GEN AI Lead Location: Noida/Pune/Bengaluru/Chennai/Mumbai Experience: 6-8 years Mode - Hybrid Role - Fulltime JOB DESCRIPTION: The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions. Required Skills : 1. Python Programming: Deep expertise in Python for building GenAI applications and automation tools. 2. Productionization of GenAI application beyond PoCs – Using scale frameworks and tools such as Pylint,Pyrit etc. 3. LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. 4. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. 5. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. 6. Fine-tune SLM(Small Language Model) for domain specific data and use cases. 9. Front-End Technologies: Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development. 10. Cloud Platforms: Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI applications. 11. Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. 12. LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. 13. Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. 14. RAG and Modular RAG: Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures. 15. Data Modernization: Expertise in modernizing and transforming data for GenAI applications. 17. API Integration: Experience with REST, SOAP, and other protocols for API integration.