Machine Learning Engineer

Crowe provides professional services through audit, tax, advisory, consulting, and other nonattest services. The Machine Learning Engineer will advance AI solutions from proof of concept to production, ensuring they are scalable, reliable, secure, and aligned with business objectives. The role also involves coding, testing, debugging, refining user stories, and supporting responsible AI deployment.

Responsibilities

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and enhancing AI solutions to ensure they are robust, scalable, and aligned with business objectives

Execute on the technical vision for development of AI solutions and delivery of AI features to ensure they are scalable and production-ready

Refine user stories and define clear acceptance criteria for feature requests to ensure alignment with business needs

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence

Develop and implement comprehensive testing protocols, including smoke tests and unit tests, to ensure solution reliability

Support the debugging process and issue triage to maintain solution integrity throughout the development cycle

Participate in ethical reviews and risk/security evaluations to uphold Crowe’s standards for responsible AI deployment

Preferred

Solid understanding of how to align technical outputs with business requirements

Knowledge of prompt engineering and retrieval augmented generation (RAG) and experience with advanced AI tools such as ChatGPT Enterprise and Microsoft Copilot, Azure AI Foundry

Experience in fine-tuning large language models (LLMs)

Previous experience in professional services or a similar industry, with an understanding of the unique challenges and opportunities it presents

Technical-business alignment

Prompt engineering

Retrieval-augmented generation (RAG)

ChatGPT Enterprise

Microsoft Copilot

Azure AI Foundry

LLM fine-tuning

Professional services industry knowledge

Benefits

Real flexibility to balance work with life moments

Comprehensive total rewards package

Consistent meetings with a Career Coach to guide career goals and aspirations

Inclusive culture that values diversity

Career growth and leadership opportunities

Company

Public accounting firm providing audit, tax, and consulting services.

Chicago, Illinois, USA

https://www.crowe.com/

Founded in 1942

5001-10000 employees

Qualifications

Expertise in Python programming and experience with version control systems like Git

Strong ability to work independently and execute tasks efficiently in a dynamic environment

Proficiency in navigating project ambiguities and iterative testing processes to refine AI solutions

Excellent communication skills, capable of effectively documenting and presenting technical details to nontechnical stakeholders

Crowe is not sponsoring for work authorization at this time

Solid understanding of how to align technical outputs with business requirements

Knowledge of prompt engineering and retrieval augmented generation (RAG) and experience with advanced AI tools such as ChatGPT Enterprise and Microsoft Copilot, Azure AI Foundry

Experience in fine-tuning large language models (LLMs)

Previous experience in professional services or a similar industry, with an understanding of the unique challenges and opportunities it presents

Required skills

Python, Git, Prompt Engineering, Retrieval-Augmented Generation (RAG), ChatGPT Enterprise, Microsoft Copilot, Azure AI Foundry, Large Language Model Fine-Tuning

Preferred skills

Experience in fine-tuning large language models (LLMs)

Experience

Mid level