Machine Learning Tech Lead

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

About Crowe AI

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art machine learning, generative AI, modern architectures, and industry experts to create AI-powered solutions that transform the way we do business.

Our world-class AI and ML professionals give Crowe the ability to capture and harness the power of data. A combination of Machine Learning Engineers and AI Platform and Infrastructure Engineers create and deploy AI functionality to solve complex problems. We focus on building scalable AI products, based on rigorous data exploration, validation via proof-of-concept buildout, and close partnership with subject matter experts across business areas. 

The future is powered by AI, come build it with us.

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 regular ethics 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.

About the Role

• As a Tech Lead in AI Products, your responsibilities will vary across the development lifecycle, and include providing solutions architecture and vision for existing solutions, supporting new feature development and testing, and preparing for release of high-quality, deployment-ready code.
• AI Product Tech Leads must have strong stakeholder-facing skills to translate business problems into AI solution designs, reference architectures, and implementation roadmaps.
• AI Product 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.
• You seek deep understanding and take ownership of the impact your technical decision-making has on driving costs for the firm and/or clients.
• Oversee the implementation of testing protocols, including smoke tests and unit tests, to maintain high-quality outputs, in collaboration with members of the AI Platform and Infrastructure 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 and proactively identify big picture improvements that benefit the client, product, and/or development team.
• Act as a career coach, fostering the growth and development of 3+ team members through knowledge-sharing, constructive code review, and by setting the standard for code quality and research best practices.
• Willingness to travel domestically to meet client needs.

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.
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