AI Data Scientist, Managing Consultant

About the Role

As an AI Data Scientist - Managing Consultant, you will leverage your expertise in combining data analysis and business acumen to tackle cognitive computing challenges. You will architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models.

Key Responsibilities

• 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 advanced analytics techniques and a deep understanding of NLP and ML methods.
• Lead AI Project Lifecycle: Manage the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful solution delivery.
• Collaborate on AI Projects: Work with various stakeholders to solve complex business problems and leverage the power of artificial intelligence for cognitive computing, applying strong programming skills and proficiency in Python and AI frameworks.
• Optimize AI Solutions: Utilize expertise in one of the following areas - NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies - to optimize AI solutions and drive business value.

This job can be performed from anywhere in the U.S.

Requirements & Tech Stack

• Cloud Platforms and Services: Deep experience with Cloud Platform (e.g., Kubernetes, AWS, Azure, GCP) and related services, and deep experience with databases (SQL, NoSQL, PostreSQL, MongoDB).
• Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.
• AI Solution Development: Experience in architecting and delivering AI solutions using cutting-edge technologies, including tools like Github Copilot and Amazon Code Whisperer.
• Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments.

Qualifications

• NLP and ML Methods: Understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models.
• Experience with Banking/Financial Modeling.

Preferred Education: Master's Degree