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# Data Scientist-Artificial Intelligence

- **Company:** IBM
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, IBM DB2, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Natural Language Processing, NoSQL, Tensorflow, Software Engineering, SQL Databases, Unstructured Data, Google Cloud, GitHub Copilot, Pytorch, Large Language Models, Computerised Systems, Keras, Pandas, Matplotlib, Scikit Learn, Kubernetes, HuggingFace, Data Analytics
- **Published:** September 10, 2026
- **Apply:** https://www.manhattanjobs.com/job.asp?id=3385136261&tx=JP5751FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Architect AI Solutions: Design and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, utilizing tools like Github Copilot and Amazon Code Whisperer.
 * Develop Cognitive Computing Systems: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, leveraging expertise in NLP, ML, and AI frameworks such as TensorFlow, PyTorch, and Keras.
 * Collaborate on AI Projects: Work on full AI project lifecycle, from research and prototyping to deployment in production environments, utilizing cloud platforms, relational and NoSQL databases, and modern UI frameworks.
 * Drive AI Innovation: Pioneer innovative AI solutions, leveraging strong programming skills in Python and experience with AI frameworks, to solve complex business problems and drive cognitive computing advancements.
 * Optimize AI Systems: Guide the optimization of AI systems, ensuring effective usage of libraries such as SciKit Learn, Pandas, and Matplotlib, and familiarity with cloud platforms and related services.

This job can be performed from anywhere in the U.S.

Required technical and professional expertise

 * Deep Expertise in AI and NLP: Proven experience with Artificial Intelligence, Natural Language Processing, and Machine Learning methods for unstructured content, with a strong focus on foundation models and large language models.
 * Proficiency in AI Frameworks: Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and understanding of libraries like SciKit Learn, Pandas, and Matplotlib.
 * Strong Programming Skills: Proficiency in Python programming, with experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
 * Cloud and Database Expertise: Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP) and related services, as well as experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).
 * Comprehensive AI Solution Development: Experience in creating comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, leveraging expertise in NLP, ML, and AI frameworks.

Preferred technical and professional experience

 * Foundation in Specialized Areas: Experience in one of the following areas: Agentic Engineering, Data Science, Machine Learning, Software Engineering
 * Data Science Techniques: Exposure to advanced modeling techniques for structured and unstructured data, enhancing the ability to tackle complex cognitive computing challenges.
 * Previous experience working for large enterprises: preferably experience working on projects for Oil and Gas clients



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