Machine Learning Engineer

• Model Development: Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions).
• Data Engineering: Prepare and manage structured and unstructured datasets, ensuring quality inputs for training and evaluation.
• AI Integration: Build and deploy AI features into BPM systems and workflows, using tools like Copilot Studio, Azure OpenAI, and Power Platform.
• Automation: Deliver automation solutions that streamline operations and reduce manual effort for Tax, Assurance, and Advisory practices.
• Collaboration: Work closely with IT, business stakeholders, and data governance teams to identify use cases and ensure solutions align with firm goals.
• Experimentation & Innovation: Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption.
• Governance & Quality: Apply responsible AI practices, ensuring models are accurate, explainable, and compliant with BPM’s standards.

AI/ML Engineer

Staff ML Engineer – R&D

Lead Engineer, MLOps

Founding Engineer

Founding AI Engineer

Founding Machine Learning Engineer