Data Scientist-Artificial Intelligence

Introduction

A career in IBM Consulting is grounded in lasting client partnerships and hands-on collaboration with teams worldwide. You’ll work with leading organizations across industries, helping them shape their hybrid cloud and AI initiatives. Backed by our strategic partners, IBM technology, and Red Hat, you’ll gain the capabilities to create meaningful change and increase client outcomes. At IBM Consulting, curiosity drives success. You’ll be encouraged to question the status quo, investigate new perspectives, and build creative solutions that produce measurable results. Our growth- and empathy-oriented culture supports your long-term career development while recognizing and valuing your individual skills and experiences.

Your Role And Responsibilities

As a Data Scientist specializing in Artificial Intelligence, you will expertly connect data analysis with business insight to address cognitive computing challenges. You will be responsible for designing and delivering AI solutions through advanced technologies, with a particular emphasis 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: Build end-to-end cognitive solutions that process and analyze both structured and unstructured data, applying expertise in NLP, ML, and other specialized domains such as Image Processing, Video Processing, Voice Processing, or Watson technologies.
• Implement AI Frameworks: Use strong programming capabilities, including proficiency in Python and hands-on experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models.
• Manage AI Project Lifecycle: Lead the complete AI project lifecycle—from research and prototyping to deployment in production environments—supporting successful delivery.
• Collaborate with Stakeholders: Partner with stakeholders to define business challenges and apply the power of artificial intelligence to cognitive computing, delivering measurable business value through AI-enabled solutions.
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Advanced Analytics Techniques: Experience with advanced analytics for structured data, including data analysis and interpretation, to support business decisions and address cognitive computing challenges.
• AI Frameworks and Tools: Experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer, to build and deploy AI models.
• Programming Skills: Proficiency in the Python programming language, with experience applying programming skills to develop and deploy AI solutions.
• NLP and ML Methods: Familiarity with Natural Language Processing (NLP) and Machine Learning (ML) approaches 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 related services, along with relational and NoSQL databases (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 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 AI solutions.
• Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.