Data Scientist

Job description

Introduction
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
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.

Required Technical and Professional Expertise
Skills:
·  Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,keras etc.,.) , LangChain, Flask,FastAPI, prompt engineering.

Preferred Technical and Professional Expertise
Skills:
·  IBM watsonx.ai, OpenAI API