Job Description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

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.

Preferred Education

Master'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: Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling the creation of comprehensive cognitive solutions.
Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, enhancing the ability to tackle complex cognitive computing challenges.
Modern UI Frameworks: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, facilitating the development of user-friendly AI solutions.