- Omnicell (Austin, TX)
- …+ 6+ years of experience in various AI/ML techniques, such as deep learning, natural language processing , recommender systems, reinforcement learning, large ... in healthcare settings and pharmacies. As an Omnicell Senior Data Scientist in the Data ...language models ( LLM ), etc. + 6+ years of experience with AI/ML… more
- Amazon (Austin, TX)
- …work will focus on developing and implementing state-of-the-art large language models, natural language processing , and generative AI solutions to create ... optimization - Expertise in designing and implementing end-to-end AI-ML systems, from data processing to model deployment - Proficiency in Python and experience… more
- Google (Austin, TX)
- …Generative AI, machine learning, Natural Language Processing ( NLP ), and LLMs, including feature engineering, data pipelines, and causal inference. + ... the development and deployment of Generative AI and Large Language Model ( LLM ) solutions for business problems....+ Drive and own the development and implementation of data -motivated solutions, with large language models (LLMs)… more
- Google (Austin, TX)
- …Generative AI, machine learning, Natural Language Processing ( NLP ), and LLMs, including feature engineering, data pipelines, and causal inference. + ... cross-functional teams to drive development and deployment of Generative AI and Large Language Model ( LLM ). + Excellent communication skills, with the ability to… more
- Deloitte (Austin, TX)
- Senior Data Scientist , Specialist Senior - SFL Scientific Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and ... building industry-specific, artificial intelligence (AI) technologies. We are hiring a Senior Data Scientist to collaborate directly with clients to design and… more
- CVS Health (Austin, TX)
- …+ 8+ years of experience in tensorflow or pytorch and knowledge of Gen AI/ LLM / NLP /MLOps or similar methodologies. + 8+ years of customer interfacing experience ... requirements. Helping define, drive and deliver all aspects of the data science product lifecycle, from requirements gathering, education, and strategy, to… more