Data Scientist/Senior Data Scientist – Generative AI
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仕事内容
Line 1: Seeking a Data Scientist/Senior Data Scientist focused on Generative AI to design and deploy innovative information retrieval and coding assistance solutions for industrial customers.
Line 2: Collaborate with Generative AI subject matter experts from internal teams, customer teams, and academia to identify, design, and implement differentiated capabilities using cutting-edge research on LLMs and Generative AI.
Line 3: Drive the adoption and scalability of Generative AI offerings within enterprise products and platforms.
Line 4: Requires MS/PhD in Computer Science, Electrical Engineering, Statistics, or related fields with applied ML experience across regression, classification, and unsupervised learning.
Line 5: Proficiency in Python, NLP, and Generative AI models (GPT, VAE, GANs), embeddings-based retrieval, and libraries such as pandas, scikit-learn, TensorFlow, PyTorch, transformers, LangChain; plus prompt engineering and few-shot techniques.
Line 6: Strong communication, independence, and ability to design robust, modular frameworks and collaborate across cross-functional teams in a fast-paced environment.
Line 2: Collaborate with Generative AI subject matter experts from internal teams, customer teams, and academia to identify, design, and implement differentiated capabilities using cutting-edge research on LLMs and Generative AI.
Line 3: Drive the adoption and scalability of Generative AI offerings within enterprise products and platforms.
Line 4: Requires MS/PhD in Computer Science, Electrical Engineering, Statistics, or related fields with applied ML experience across regression, classification, and unsupervised learning.
Line 5: Proficiency in Python, NLP, and Generative AI models (GPT, VAE, GANs), embeddings-based retrieval, and libraries such as pandas, scikit-learn, TensorFlow, PyTorch, transformers, LangChain; plus prompt engineering and few-shot techniques.
Line 6: Strong communication, independence, and ability to design robust, modular frameworks and collaborate across cross-functional teams in a fast-paced environment.
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