Role Overview : The Data Scientist - GenAI Focus drives the development and implementation of Generative AI initiatives identified through the AI Incubator process. This role involves fine-tuning, deploying, and scaling GenAI models for commercial...
Role Overview:
The Data Scientist - GenAI Focus drives the development and implementation of Generative AI initiatives identified through the AI Incubator process. This role involves fine-tuning, deploying, and scaling GenAI models for commercial applications, such as knowledge base creation, recommendation systems, and retrieval-augmented generation (RAG).
Key Responsibilities:
The Data Scientist - GenAI Focus drives the development and implementation of Generative AI initiatives identified through the AI Incubator process. This role involves fine-tuning, deploying, and scaling GenAI models for commercial applications, such as knowledge base creation, recommendation systems, and retrieval-augmented generation (RAG).
Key Responsibilities:
- Develop and deploy GenAI models tailored for commercial applications.
- Implement RAG techniques and other generative AI strategies to enhance business processes.
- Ensure production-grade deployment using MLOps and LLMOps best practices.
- Collaborate with cross-functional teams to align AI initiatives with business goals.
- Stay updated on advancements in Generative AI and large language model frameworks.
- Master’s degree in Artificial Intelligence, Computer Science, or a related field; a PhD is preferred.
- Expertise in Generative AI and large language models (e.g., Hugging Face, OpenAI APIs).
- Experience with MLOps and LLMOps for scalable model deployment.
- Proficiency in Python and cloud-based data platforms (e.g., Databricks, Azure).
- Excellent communication skills for engaging with technical and non-technical stakeholders.
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