Data scientist

Job Description :

• Deep experience in Natural Language Processing (NLP and NLI), Tiny / small language models, and base language models
• Extensive experience in conversational NLP systems.
• Experience in SLM adaptor fine-tuning, SFT training, and SLM pruning (base and instruct models).
• Experience in retriever frameworks in Q and 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."

Preferred Skills

AI / ML certifications from AWS, Azure, or Google Cloud are a plus.

Job Description / Roles & Responsibilities (in Detail)