Data Scientist - Artificial Intelligence

Introduction

in this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

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. 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 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

Bachelor's Degree

Technical Skills

Required technical and professional expertise

• Proficiency in programming languages such as Python, R, or Scala.
• Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
  
  

Leadership Skills

• Leadership skills with the ability to inspire and motivate junior team members.
• Strategic thinking with the ability to align data science initiatives with business objectives.
• Very good communication skills, capable of conveying complex ideas to a variety of audiences.
• Proven ability to work collaboratively in projects with cross-functional teams.
• Experience in building/scaling data science teams and implementing AI solutions in a large (preferably consulting) organization.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
• Strong knowledge of Natural Language Processing (NLP) and AI ethics.
  
  

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.