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Buzzworks business services
Buzzworks business services cover picture
Buzzworks business services logo

Buzzworks business services

https://buzzworks.com/
Founded :
2001
Type :
Services
Size :
500+
Stage :
Profitable

About

"Buzzworks", founded in 2001 and headquartered in Chennai, India, is a leading workforce management company with 5,000+ employees and Partnership with leading company "Innovations". It offers staffing, payroll, compliance, and recruitment solutions across industries like BFSI, IT, Retail, and Telecom. Buzzworks operates across major Indian cities, including Mumbai, Bangalore, Delhi, Hyderabad, Pune, and Kolkata."

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It offers staffing, payroll, compliance, and recruitment solutions across industries like BFSI, IT, Retail, and Telecom.

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Jobs at Buzzworks business services

Opening with top MNC company
Opening with top MNC company
Agency job
via Buzzworks business services by Kasthuri Velayutham
Hyderabad, Gurugram
5 - 10 yrs
₹10L - ₹33L / yr
skill iconMachine Learning (ML)
Generative AI
Large Language Models (LLM) tuning
Retrieval Augmented Generation (RAG)

Job Description

 Sr. LLM Engineer: Gen AI 



Exp 5Yrs to 9 Yrs

Location- Hyderabad/ Gurgaon WFO, 3 days hybrid

Notice - 15 Days / Immediate only

Skill


  • 5+ years of professional experience in building Machine Learning models & systems
  • 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
  • Experience in driving the engineering team toward a technical roadmap.
  • Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
  • Understanding of Cloud services, including Azure, GCP, or AWS
  • Excellent communication skills to effectively collaborate with business SMEs



Roles & Responsibilities

  • Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
  • Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
  • Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
  • Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
  • Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
  • Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.



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