Client Technology- AI Researcher

3 - 8 years

12 - 16 Lacs

Posted:5 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  The opportunity  
We are seeking a highly motivated Applied AI Researcher to join our team. The ideal candidate will evaluate and experiment with emerging AI technologies, developing Proofs of Concept (POCs) utilizing cutting-edge AI and Generative AI (GenAI) technologies, including agentic AI.   Your key responsibilities  
  • Stay up to date on the state-of-the-art in large language models and agentic approaches.
  • Evaluate and experiment with emerging AI technologies to identify potential applications and innovations.
  • Develop and implement Proofs of Concept (POCs) using Generative AI and agentic AI technologies with advanced AI frameworks, including AutoGen and LangGraph.
  • Research advanced retrieval augmented generation methodologies
  • Collaborate with cross-functional teams to propose improved AI methods and solutions for implementing into existing products and platforms
  • Write internal white papers as well as research papers for submission into premier AI conferences and workshops.

  •   Skills and attributes for success  
  • Masters degree /Ph.D. in a relevant field (Computer Science, Data Science, Artificial Intelligence, etc.).
  • 3+ years of experience in AI and machine learning
  • Deep technical expertise in Generative AI and agent frameworks such as AutoGen and LangGraph with an ability to quickly develop AI prototypes.
  • Experience building multi-agent systems using LangChain/LangGraph and familiarity with observability tools like LangSmith.
  • Solid understanding of basic and advanced Retrieval-Augmented Generation (RAG) techniques.
  • Strong programming skills in Python as well as knowledge of frameworks like TensorFlow, PyTorch is required
  • Preferred experience with fine-tuning Small Language Models (SLMs).
  • Drive to solve customers problems using technical creativity and hard work
  • Ability to communicate technical matters clearly and effectively to both technical and non-technical audience
  • Critical thinker with excellent judgment and strong initiative

  •   Education  
  • B.S. in Actuarial, Behavior Economics, Computer Science, Data Analytics, Data Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred

  •  

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    Professional Services

    London

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