Description
Design and implement scalable and efficient data architectures to support generative AI workflows. fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models, apply prompt engineer techniques as required by the use case , design and implement data pre/post processing, , collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower level tasks, lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.
IBM
Business Development
Business Information Systems
CRM
Data Management
Software
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