As a seasoned Data Scientist specializing in Artificial Intelligence, you will leverage your expertise in combining data analysis and business acumen to tackle complex cognitive computing challenges. Your strong foundation in AI, NLP, and ML will enable you to deliver comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data. Your primary responsibilities will include: • 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.
| Location | Bethesda, MD |
| Industry | Computer/IT Services |
| Company Size | 10,000 employees or more |
| Year Founded | 1911 |
| Website | http://www-03.ibm.com/employment/us/ |
At IBM, you don’t need a degree to shape the future. Just bring your skills—and your passion. To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate.
Not just to do something better, but to attempt things you've never thought possible. To lead in this new era of technology and solve some of the world's most challenging problems. Let’s get to work.
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