Introduction
At IBM Software, we transform client challenges into solutions. Building the world’s leading AI‑powered, cloud‑native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.
Your Role And Responsibilities
As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting‑edge technologies, with a strong focus on foundation models and large language models.
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 expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies.
Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models.
Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery.
Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI‑driven solutions.
Preferred Education
Master’s Degree
Required Technical And Professional Expertise
Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions.
AI Frameworks and Tools: Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like GitHub Copilot and Amazon Code Whisperer.
Programming Skills: Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI models.
NLP and ML Methods: Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models.
Cloud Platforms and Databases: Experience working with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP) and relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB).
Preferred Technical And Professional Experience
Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and jQuery, with the ability to apply this knowledge in developing AI‑driven solutions.
Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing and deploying AI models.
Operating Systems Knowledge: Experience working with various operating systems, including Linux, Windows, iOS, and Android, with the ability to adapt AI solutions to different operating systems.
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