CarMax
Senior Engineer, AI & ML (multiple positions)
TX - Dallas Technology · Senior · Full-time
Sponsorship not specifiedDetected 1 day ago
PythonJavaC#AlgorithmsAzureKubernetesCI/CDDevOpsMachine LearningTensorFlowPyTorchData ScienceMLOpsResearch
About the role
- 8117 - Dallas Technology Hub - 5830 Granite Parkway, Plano, Texas, 75024 CarMax, the way your career should be!
- Your work fuels change-sparking ideas, overcoming challenges, and shaping what's next.
- If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay.
Requirements
- Must also have demonstrated experience with the following: Designing and Developing on distributed architectures (microservices or Kubernetes)
- Must also have demonstrated experience with the following:
- Master's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience in the job offered or related occupation in which the required experience was gained. In lieu of a Master's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience, the employer will also accept a Bachelor's degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained. Must also have demonstrated experience with the following: Designing and Developing on distributed architectures (microservices or Kubernetes)
- End-to-end design and development of scalable services for monitoring and product support services
- Python programming and coding
- Building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
- DevOps practices, testing frameworks, and CI/CD pipelines
- Object-oriented programing language (C# or Java)
- Machine-learning and AIaaS
- MLOps and industry-standard machine-learning Python libraries
- Model Development and Deployment (MLFlow, Azure ML, or Sage Maker)
- and Data Science Libraries and Algorithms (TensorFlow, Scikit, or PyTorch).
Skills
- Responsible for providing reliable and scalable machine-learning capabilities across the organization.
- Research and discover new opportunities to shape products, tools, and technologies to improve business performance.
Compensation
- To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company.
- For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay.
Benefits
- Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time.
- For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday.
- Associates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval.
- For more details about benefits, please visit our CarMax Benefits website.
Equal opportunity
- Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
This listing is sourced directly from CarMax's careers page and normalized into a canonical job model.