As a Data Scientist specializing in Artificial Intelligence, you will leverage your expertise in combining data analysis and business acumen to tackle cognitive computing challenges. You will architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Your primary responsibilities will include: • Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. • Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing advanced analytics techniques and a deep understanding of NLP and ML methods. • Lead AI Project Lifecycle: Manage the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful solution delivery. • Collaborate on AI Projects: Work with various stakeholders to solve complex business problems and leverage the power of artificial intelligence for cognitive computing, applying strong programming skills and proficiency in Python and AI frameworks. • Optimize AI Solutions: Utilize expertise in one of the following areas - NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies - to optimize AI solutions and drive business value.
| 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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