Machine Learning Engineer

Crowe•Chicago, IL

18h

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

Advancing new features and/or solutions from the Proof of Concept stage to full production readiness.
Refining and enhancing AI solutions to ensure they are robust, scalable, and aligned with business objectives.
Executing on the technical vision for development of AI solutions and delivery of AI features to ensure they are scalable and production-ready.
Refining user stories and defining clear acceptance criteria for feature requests to ensure alignment with business needs.
Writing high-quality, production-ready code and assisting in code reviews to maintain standards of excellence.
Developing and implementing comprehensive testing protocols, including smoke tests and unit tests, to ensure solution reliability.
Supporting the debugging process and issue triage to maintain solution integrity throughout the development cycle.
Participating in ethical reviews and risk/security evaluations to uphold Crowe’s standards for responsible AI deployment.