Data Scientist

• 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.

• Design, develop, and implement advanced machine learning models, with a focus on LLMs and NLP applications

• Collaborate with cross-functional teams to identify and solve complex business problems using data-driven approaches

• Conduct research on state-of-the-art LLM techniques and contribute to the development of novel algorithms

• Preprocess and engineer features from large-scale textual datasets for NLP tasks

• Optimise and deploy machine learning models in production environments

• Mentor junior team members and provide technical guidance on NLP and LLM projects

• Stay abreast of the latest developments in LLMs and GenAI, sharing insights with the team and clients

• Contribute to the continuous improvement of our data science processes and methodologies