Artificial Intelligence Architect

Role & responsibilities

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• 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 candidate profile