Advanced Conversational AI Expert

6 days ago

Alwar, Rajasthan, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,40,00,000
Lead Data Scientist Position

We are seeking an experienced Lead Data Scientist to join our team. The successful candidate will have a deep understanding of Natural Language Processing (NLP) and conversational AI systems.

  • Design, develop, and fine-tune multilingual Small Language Models (SLMs) with advanced AI capabilities for agentic applications.
  • Build custom Natural Language Inference (NLI) and reward-scoring models to improve preference-based SLM training.
  • Develop and implement active learning pipelines for data and models, for NLP, Named Entity Recognition (NER), and domain-specific SLM training.
  • Architect and enhance conversational AI systems to dynamically adapt and comprehend concepts/intents, NLP, and NER tasks.
  • Drive end-to-end quality assurance through robust integration and experience testing, establishing objective evaluation metrics.
  • Mentor and guide engineering teams in advanced SLM and Generative AI analytics.
  • Collaborate across teams to deliver scalable solutions that impact millions of users.
  • Focus on hosting and deploying Generative AI models on robust and efficient infrastructure.

Required Skills

  • Deep experience in NLP & NLI, tiny/small language models, and base language model retraining.
  • Extensive experience in conversational NLP systems.
  • Experience in SLM adaptor fine tuning, SFT training, and SLM pruning.
  • Experience in retriever frameworks in Q&A bots and contrastive learning methods.
  • Preferably experience in building NLP active learning pipelines and scaling models to large-scale search systems.
  • Very good critical reasoning skills, data-centric NLP/NLI systems.

Benefits of the Role

The successful candidate will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative AI solutions.

What We Offer

A dynamic and supportive work environment, opportunities for growth and development, and a competitive compensation package.

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