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# Machine Learning Engineer

- **Company:** Crowe Global
- **Location:** Chicago, IL, United States
- **Salary:** $62,000 - $100,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, Code Review, Software Debugging, Python (Programming Language), Machine Learning, Microsoft Copilot, Software Engineering, Large Language Models, Prompt Engineering, Generative AI, Git, GPT, Software Version Control
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/15f1ac7d-2f1c-4245-bca8-c100054789ef

## About the Role

* 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.

Preferred Skills

 * 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., We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role's responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.

## Description

* 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.