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Distinguished Data Scientist
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- You will be responsible for influencing Enterprise level AI and Generative AI decisions based on data, research, and proof of concept outcomes; bring the latest industry trends/changes and best practices to internal solutions as appropriate; and mentoring other data scientists.
- Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Pytorch Lightning etc.
- Experience with one or multiple areas of generative AI technology stack including prompt engineering, guardrails, vector databases, advanced RAG, LLM hosting and fine-tuning.
- Experience with LLM application evaluation strategy and interpretability, fairness and security of LLMs. Deep experience with working with applications that leverage LLMs and vertical integration with enterprise applications.
- Experience designing and implementing capabilities to support MLOps of LLMs. Knowledge of a broad stack of technologies — Python, Huggingface, VectorDB, Pytorch, ElasticSearch, Azure, and more — to reveal the insights hidden within huge volumes of numeric and textual data Authored research publications in top peer-reviewed conferences (NeurIPS/ICML/ICLR/AAAI), or industry-recognized contributions.
Expired 12 days agoInactive Job
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