Description

• Strong experience in Artificial Intelligence (AI) and Data Science Expertise in Machine Learning (ML), Large Language Models (LLMs), and Foundation Models
• Hands-on experience with Natural Language Processing (NLP) and Cognitive Computing
• Ability to analyze and derive insights from structured and unstructured data
• Experience architecting, designing, and delivering AI/Generative AI solutions
• Strong background in advanced analytics and data-driven problem solving
• Ability to translate business requirements into scalable AI solutions
• Experience implementing enterprise AI applications and integrations
• Familiarity with GitHub Copilot, Amazon CodeWhisperer, or similar AI-assisted development tools
• Strong communication, stakeholder management, and business acumen skills

The professional should also have a strong foundation in one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies. This skill set is valuable in solving complex business problems and leveraging the power of artificial intelligence for cognitive computing.

They have strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face; understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc; familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services.

They work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and Jquery)

Key Skills

Education

Bachelor's degree