Data Scientist IA — Architect AI Solutions (Flexible Work)

IBM

United States

Remote

USD 140,000 - 210,000

Full time

14 days+
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Job summary

IBM Consulting in the United States seeks an experienced Data Scientist specializing in AI to help clients advance cognitive computing journeys, with a strong emphasis on foundation models and large language models. You will architect and deliver AI solutions leveraging Python, NLP/ML methods, and leading frameworks, while collaborating across teams, partners, and clients to drive production-ready results.

You will lead the full AI lifecycle from research to deployment in agile environments,

Qualifications

  • 5+ years of post-graduate experience on generative AI projects (LLM, NLP) in an Agile environment.
  • Advanced Analytics techniques for structured data to inform business decisions.
  • Experience with AI frameworks and tools (TensorFlow, PyTorch, Keras, Hugging Face) and Python.
  • Proficiency in Python programming for AI solutions.
  • Experience with cloud platforms (Kubernetes, AWS, Azure, GCP) and SQL/NoSQL databases.

Responsibilities

  • Design AI solutions focusing on foundation models and large language models.
  • Lead AI project lifecycle from research and prototyping to production deployment.
  • Collaborate with stakeholders to solve complex business problems using AI.
  • Apply Python and AI frameworks to develop and deploy AI models.
  • Leverage NLP/ML methods to process unstructured data and improve solutions.

Skills

Python
NLP/ML
Agile
Data analytics
Foundation models
Team collaboration

Education

Bachelor's Degree
Master's Degree

Tools

TensorFlow
PyTorch
Keras
Hugging Face
Github Copilot
Amazon Code Whisperer

Job description

IBM Consulting in the United States seeks an experienced Data Scientist specializing in AI to help clients advance cognitive computing journeys, with a strong emphasis on foundation models and large language models. You will architect and deliver AI solutions leveraging Python, NLP/ML methods, and leading frameworks, while collaborating across teams, partners, and clients to drive production-ready results.

You will lead the full AI lifecycle from research to deployment in agile environments,

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