Generative AI Lead (Noida)

Generative AI Lead (Noida)

30 Jul
|
Birlasoft
|
Noida

30 Jul

Birlasoft

Noida

Country/Region: IN

Requisition ID: 35792

Work Model:

Position Type:

Salary Range:

Location: INDIA - NOIDA - BIRLASOFT OFFICE SEZ

Title: Generative AI Lead

Description:

Area(s) of responsibility

Job Title: GEN AI Sr Lead
Location - Noida/HYD/Bengaluru/Pune/Chennai/Mumbai
Experience Required - 6+ years Only

Application Development: Build GenAI applications from scratch using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.

- Python Programming: Develop high-quality, productive, and maintainable Python code for GenAI solutions.

- Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data.

- Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models.

- Fine-tune SLM(Small Language Model) for domain specific data and use cases.

- Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends.

- Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications.

- OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR)



and document intelligence using cloud-based tools.

- API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery.

- Cloud Platform Expertise: Leverage Azure, GCP, and AWS for deploying and managing GenAI applications.

- Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases.

- LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring.

- Responsible AI Practices: Ensure ethical AI practices are embedded in the development process.

- RAG and Modular RAG: Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance.

- Data Curation Automation: Build tools and pipelines for automated data curation and preprocessing.

- Technical Documentation: Create detailed technical documentation for developed applications and processes.

- Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions.

- Mentorship: Guide and mentor junior developers, fostering a culture of technical excellence and innovation.

📌 Generative AI Lead (Noida)
🏢 Birlasoft
📍 Noida

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