Job Information
CARMAX Technology Manager, AI & ML in Richmond, Virginia
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238
CarMax, the way your career should be!
About this job
At Company, a Technology Manager, ML/AI is a key leader in providing reliable and scalable machine-learning capabilities across the organization. The Technology Manager will be responsible for engaging and developing a team of very talented and passionate ML/AI engineers, who closely partner with Data Scientists in productionalizing models. The ideal candidate will have a passion and understanding of Data Science and Machine Learning and will have the substantial experience in software engineering and cloud engineering that is necessary to turn those models into highly visible, mission-critical capabilities that drive Company’s iconic customer experience.
Essential Responsibilities:
Work with partners and stakeholders in Data Science and other teams across the organization to build strategic plans and roadmaps
Drive the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization
Serves as an empowering coach to the team by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles
Develop people through effective communication and ongoing feedback
Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis
Communicate effectively with associates at various levels and technological knowledge, ensuring alignment and support for team objectives with stakeholders and Senior Leadership
Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience
Work through others to deliver resilient and scalable technology solutions that solve for complex business problems
Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology
Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
Minimum Qualifications:
Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
3+ years’ experience managing direct reports
3+ years’ experience with microservices software architecture
3+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
3+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future
Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence
Proficient in developing in Python
Experience with scripting languages such as shell scripts
Experience in DevOps practices, testing frameworks, and CI/CD
Experience with Model Development and Deployment (MLFlow, Azure ML)
Experience with container orchestration (Kubernetes, Docker)
Experience communicating and working across functions to drive organization-wide solutions
Preferred Qualifications:
Previous experience deploying large-scale applications on Azure
Familiarity with MLOps and industry-standard machine-learning Python libraries
Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
Advanced AI/ML specializations (reinforcement learning, deep learning, NLP)
Proficient in an object-oriented programming language (i.e. C#, Java)
Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations
Software Specific Qualifications:
Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
Proficiency developing and debugging in Python
Experience with Model Development and Deployment (MLFlow, Azure ML)
Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
Experience with scripting languages such as shell scripts
Experience in DevOps practices, testing frameworks, and CI/CD
Proficiency in version control systems (Git) for AI/ML model versioning
Experience with container orchestration (Kubernetes, Docker)
Work Location: This role will be based out of the Richmond, VA CarMax Technology Innovation Center or the Dallas, TX Technology Hub and have a Hybrid work arrangement.
About Company
Company disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.
Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.
Company is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
Sponsorship Note:
Candidates must be legally authorized to work for any U.S. employer on a full-time basis. Sponsorship will be considered for this specific role.
Upon an applicant's request, Company will consider reasonable accommodation to complete the Company Job Application.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.