Hybrid AI Data Scientist: Foundation Models & LLMs

IBM; Boston (MA); Hybrid; USD 26,000 - 47,000; Full time

Job summary

IBM Consulting in India is seeking a Data Scientist with expertise in Artificial Intelligence to design and deliver AI solutions focusing on foundation models and large language models, blending data analysis with business insight.

You will work across NLP, ML, image/video/voice processing, and deploy AI models using TensorFlow, PyTorch, Keras, and Hugging Face, while guiding projects from research to production in a hybrid work environment.

Qualifications

• Bachelor's degree in a relevant field; Master's preferred.
• Strong analytics ability with experience in cognitive computing.
• Proficiency with AI frameworks and modern NLP/ML methods.

Responsibilities

• Design AI Solutions: Architect and deliver AI solutions using foundation models and large language models with tools like Copilot and Code Whisperer.
• Develop Cognitive Solutions: Build cognitive systems processing structured and unstructured data using NLP/ML techniques.
• Implement AI Frameworks: Use Python and frameworks like TensorFlow, PyTorch, Keras, Hugging Face to deploy models.
• Manage AI Project Lifecycle: From research to production deployment and delivery.
• Collaborate with Stakeholders: Identify business problems and drive value with AI-driven solutions.

Skills

AI

Python

NLP

TensorFlow

PyTorch

Keras

Hugging Face

Foundation Models

LLMs

GitHub Copilot

Education

Bachelor's degree

Master's degree

Tools

GitHub Copilot

Amazon Code Whisperer

TensorFlow

PyTorch

Keras

Hugging Face

Job description

IBM Consulting in India is seeking a Data Scientist with expertise in Artificial Intelligence to design and deliver AI solutions focusing on foundation models and large language models, blending data analysis with business insight.

You will work across NLP, ML, image/video/voice processing, and deploy AI models using TensorFlow, PyTorch, Keras, and Hugging Face, while guiding projects from research to production in a hybrid work environment.