Remote Generative AI Data Scientist — Lead AI Solutions

Computer Task; United States; Remote; USD 83,000 - 96,000; Full time

Job summary

CTG is seeking a Generative AI Data Scientist for a remote, two-month engagement. You will architect and deliver AI solutions using foundation models and LLMs, applying ML, NLP, and analytics to real business challenges.

The role involves leading projects end-to-end, translating business needs into scalable AI applications, and collaborating with stakeholders. Strong expertise in AI, ML, NLP, and Python is required, with experience in TensorFlow, PyTorch, Keras, and Hugging Face.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience architecting and delivering AI solutions.
• Proven experience with LLMs and foundation models.
• Strong Python programming and data analysis skills.
• Experience with ML/NLP frameworks and cloud platforms.

Responsibilities

• Architect, design, and deliver AI and Generative AI solutions using foundation models and LLMs.
• Apply analytics, ML, NLP, and cognitive computing to solve business problems.
• Lead AI projects through full lifecycle from research to production.
• Translate business requirements into scalable AI applications.
• Collaborate with stakeholders to define requirements and deliver data-driven solutions.

Skills

Foundation Models

LLMs

Python

NLP

TensorFlow

PyTorch

Keras

Hugging Face

Scikit-learn

AWS

Azure

GCP

SQL

NoSQL

GitHub Copilot

CodeWhisperer

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Keras

Hugging Face

Job description

CTG is seeking a Generative AI Data Scientist for a remote, two-month engagement. You will architect and deliver AI solutions using foundation models and LLMs, applying ML, NLP, and analytics to real business challenges.

The role involves leading projects end-to-end, translating business needs into scalable AI applications, and collaborating with stakeholders. Strong expertise in AI, ML, NLP, and Python is required, with experience in TensorFlow, PyTorch, Keras, and Hugging Face.