Gen Ai Pod

Year    Pune, Maharashtra, India

Job Description

  • 12-13 Years of IT experience with a specialisation in Data science, AI and ML architecture and at least 3+ years of experience in architecting GenAI and NLP solutions for complex business use cases.
  • As a GenAI/NLP Consultant, you will work with clients to design, implement, and optimize solutions powered by state-of-the-art NLP techniques and large language models (LLMs).
  • Advise clients on NLP/LLM strategies, solution architectures, and implementation best practices.
  • Define and own the end-to-end architecture for agentic AI systems using Azure AI services (Azure OpenAI, Cognitive Services, Azure Machine Learning) and agentic libraries such as LangGraph, LangChain etc.
  • Design and develop NLP/LLM pipelines for tasks such as information extraction, summarization, classification, conversational Al, and many more.
  • Well versed with Azure native GenAI services such as Azure foundry and copilot studio and exposure working with LLMs, preferably Azure OpenAI and GPT.
  • Fine-tune and customize pre-trained language models (e.g., GPT, LLaMA, BERT) to meet client-specific needs.
  • Evaluate and compare different LLM approaches for performance, accuracy, and efficiency.
  • Strategize and implement AI governance and monitoring to ensure alignment to organisation policies, regulatory requirements, and architectural guidelines.
  • Collaborate with data scientists, engineers, and product stakeholders to align on business goals and technical solutions.
  • Create documentation, presentations, and technical reports for both technical and non-technical audiences.
  • Stay abreast of the latest developments in the NLP/LLM landscape and translate insights into actionable recommendations.
  • Provide thought leadership and contribute to internal knowledge sharing and resource upbringing efforts.

Skills Required

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Job Detail

  • Job Id
    JD4364063
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Pune, Maharashtra, India
  • Education
    Not mentioned
  • Experience
    Year