Live opening · Posted 18 days ago
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Responsibilities:
Design, develop, and fine-tune multilingual Small Language Models (SLMs) with advanced AI capabilities for agentic applications such as travel destination expertise, Myra bot orchestration, hotel semantic search, and customer support bot assistance.
Build custom Natural Language Inference (NLI) and reward-scoring models to improve preference-based SLM training (DPO, PPO, SteerLM, etc. ), enhancing multi-agent response quality and relevance.
Develop and implement active learning pipelines for data and models for NLP, Named Entity Recognition (NER), conversational latent intent/concepts, travel-specific embeddings, and domain-specific SLM training for summarization, rephrasing, and planning.
Architect and enhance conversational AI systems to dynamically adapt and comprehend concepts/intents, NLP, and NER tasks across multiple lines of business, supporting the Myra chatbot ecosystem.
Drive end-to-end quality assurance through robust integration and experience testing, establishing objective evaluation metrics and leveraging A/B testing for performance optimization.
Mentor and guide engineering teams in advanced SLM and generative AI analytics, fostering growth and innovation.
Collaborate across teams to deliver scalable solutions that impact millions of users, ensuring alignment with business goals.
Focus on hosting and deploying generative AI models on robust and efficient infrastructure to support large-scale operations.
Requirements:
Experience Range: 10 - 12 Years.
Deep experience in Natural Language Processing (NLP and NLI), tiny/small language models, and base language model retraining (both transformer and BERT-based architectures).
Extensive experience in conversational NLP systems.
Experience in SLM adapter fine-tuning, SFT training, and SLM pruning (base and instructed models).
Experience in retriever frameworks in Q& A bots.
Experience in contrastive learning and graph learning-based embedding methods with heterogeneous features.
Preferably experience in building NLP active learning pipelines.
Demonstrable experience in scaling your models to large-scale search systems is a plus.
Very good critical reasoning skills and data-centric NLP/NLI systems.
Must have the temperament and hunger to work in a fast-paced environment.
Experience
7-11 yrs
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