AI Research Scientist- Senior Associate

Overview

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- Senior Associate role at KPMG US
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KPMG is seeking an AI Research Scientist to join our Audit Technology Alliance organization. We are known for delivering audit, tax and advisory services and for fostering an inclusive environment that supports individual development and innovative excellence.

• Execute applied research by building, testing, and refining components for AI models, advanced agent patterns, and knowledge retrieval systems under the guidance of senior team members.
• Collaborate hands-on with AI engineers to implement research prototypes and integrate successful models and techniques into our production microservice architecture.
• Leverage experimentation framework to measure, validate, and ensure the quality and reliability of AI-driven outcomes.
• Contribute to the team s research agenda by implementing and evaluating new techniques from academic literature and industry trends to help drive product innovation.
• Support the model training lifecycle by preparing datasets, running training jobs, and performing detailed evaluations to improve model performance.
• Develop and document research findings and prototypes, clearly communicating results to technical peers and contributing to the team s collective knowledge base.

• Minimum three years of recent relevant experience in an applied AI or data science role with a focus on NLP, machine learning, or a related field.
• Bachelor s degree from an accredited college or university; master s degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline;
  Ph.D. is a plus.
• Practical expertise in knowledge retrieval (RAG), AI agent architecture, and techniques for fine-tuning and evaluating language models.
• Experience designing and implementing the end-to-end lifecycle for AI models, including data processing, labeling, training, and production deployment (MLOps).
• Working experience prototyping and experimenting with modern AI frameworks like Lang Chain/Lang Graph or Semantic Kernel.
• Exceptional ability to translate ambiguous business challenges into defined research problems and articulate complex findings and their strategic implications to both technical and executive audiences.

KPMG LLP and its affiliates and subsidiaries comply with applicable laws regarding recruitment and hiring and are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other status protected by law. We recruit on a rolling basis and encourage qualified candidates to apply promptly.