Your role and responsibilities
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.
This job can be performed from anywhere in the U.S.
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
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
OTHER RELEVANT JOB DETAILS
IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
