at Crowe LLP in Chicago, Illinois, United States
Job Description
Your Journey at Crowe Starts Here:
At Crowe, you have the opportunity to deliver innovative solutions to today's complex business issues. Crowe's accounting, consulting, and technology personnel are widely recognized for their in-depth expertise and understanding of sophisticated process frameworks and enabling technologies, along with their commitment to delivering measurable results that help clients build business value. Our focus on emerging technology solutions along with our commitment to internal career growth and exceptional client value has resulted in a firm that is routinely recognized as a "Best Place to Work." We are 75 years strong and still growing. Come grow with us!
Job Description:
About Crowe AI
Everything we do is about making the future of human work more purposeful. We do this by leveragingstate-of-the-art machine learning, modern architectures, and industry experts, to create AI-powered solutions that transform the way we do business.
As a member of AI Engineering, you are a builder excited to realize an AI idea's impact at scale, distinguishing Crowe in the market and driving the firm's technology and innovation strategy.
About the Team
We foster good science. You are given the time and resources to build your expertise in your project and beyond; you will guide fellow MLEs and product stakeholders through your work.
We want to make good scientists better. MLEs have plenty of options on the job market. We want to be one of the best. We have regularethics and book club meetings, monthly lightning talks where team members teach each other, support for conferences, and weekly "10P" independent time for ongoing learning.
We truly value work-life balance. Our distributed team offers unlimited PTO and a flexible work-from-home policy. We actively discourage weekend and off-hours work (unless that's genuinely your thing).
About the Role
As a Tech Lead in AI Engineering, your responsibilities will vary across the development lifecycle, and include providing solutions architecture and vision for existing solutions, including the support of new feature development, testing, and preparing for release of high-quality, deployment-ready code.
AI Engineering Tech Leads are responsible for architecting the transition of AI projects from Proof of Concept to robust, production-ready solutions that transform our business offerings.
Conduct lightweight sprint planning and review sessions, prioritizing features and managing project timelines.
Write, review, and ensure the quality of production-ready code, setting high standards for the team.
Oversee the implementation of testing protocols, including smoke tests and unit tests, to maintain high-quality outputs, in collaboration with members of the MLOps software engineers.
Prepare and refine Service Level Agreements (SLAs) and release documentation in preparation for production deployment; collaborate with Enablement team to create user upskilling materials that support effective use and drive adoption of AI solutions and latest features.
Lead ethical reviews and risk/security evaluations to ensure compliance and safeguard our solutions.
Engage with business stakeholders to refine project objectives and demonstrate the value and impact of implemented features.
Act as a career coach, fostering the growth and development of team members through knowledge-sharing, constructive code review, and by setting the standard for code quality.
Required Skills
Programming experience. You're experienced writing scalable, production-level code in Python. You're familiar with Linux/UNIX systems.
Machine learning experience. You're proficient in machine learning packages, such as Tensorflow and Pytorch, and have proven expertise in designing/developing AI/ML models.You understand the mechanics of supporting ML solutions in a production environment and can help develop/maintain tests that validate functionality and evaluate model performance.
Software Experience. You're familiar with the software development lifecycle, and ideally tenets of MLOps. You have exposure to CI/CD frameworks and tools like Docker and Git.You're experienced deploying code in production environments.
Communication. Excellent communication skills, capable of effectively documenting and summarizing technical details for non-technical stakeholders.
Agile experience.You're experienced attending Scrum or Kanban meetings; you favor incremental, iterative improvements through regular releases, testing, and monitoring.
Preferred Skills
GenAI Experience. Expertise in prompt engineering and experience with tools like Enterprise ChatGPT, Microsoft Copilot, and Azure AI Studio.
Knowledge sharing. You enjoy sharing what you learn, whether by offering cross-training opportunities, giving internal team "lightning talks," or by writing detailed comments on tickets when you... For full info follow application link.
EOE M/F/D/V
To view full details and how to apply, please login or create a Job Seeker account