Posted:8 hours ago|
Platform:
On-site
Full Time
• 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."
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
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