CarMax is looking to improve the performance of their business through machine learning and Generative AI system implementations that drive their iconic omni-channel customer experience.
Requirements
- 5+ years’ software-engineering experience in an enterprise-level environment
- 2+ years’ experience designing and developing on distributed architectures (microservices, Kubernetes, etc.)
- 2+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
- Proficient in the Python programming language
- 2+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
- Experience in DevOps practices, testing frameworks, and CI/CD
- Proficient in an object-oriented programming language (i.e. C-Sharp, Java)
Responsibilities
- develop tools and technology, learning quickly from our spirit of experimentation
- design and productionalize machine learning models, including testing and monitoring of the applications and front-end experiences
- provide reliable and scalable machine-learning capabilities across the organization
- turn machine learning models into highly visible, mission-critical capabilities that drive CarMax’s iconic customer experience
- develop tools and technology to address advanced concepts and feature designs for hosting deep-learning models
- test, evaluate, and analyze the AI system
- partner with Data Scientists to design and productionalize machine learning models
Other
- Bachelor’s Degree in Computer Science or related Technology field or equivalent experience
- Excellent communication skills, adapting to various audience types
- Ability to positively influence team norms, culture, and technical vision
- Work onsite 5 days per week (for Richmond location) or 2 days per week (for Plano location)
- Applicants must be currently authorized to work in the United States on a full-time basis
