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Sr Architect
India
Country/Region: IN
Requisition ID: 28553
Work Model:
Position Type:
Salary Range:
Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI
Title: Sr Architect
Description:
Area(s) of responsibility
Key Responsibilities:
- Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
- Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code.
- Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning.
- Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure.
- Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases.
- LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications.
- Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability.
- RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance.
- Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications.
- Open Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment.
- Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces.
- SDLC and DevSecOps: Implement secure software development lifecycle (SDLC) and DevSecOps practices tailored to LLM-based projects.
- Technical Documentation: Create detailed design artifacts, technical specifications, and architecture diagrams for complex projects.
- Stakeholder Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions.
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