Senior Engineer, AI & ML (multiple positions)

CarMax • Dallas, TX

19h • Onsite

About The Position

Responsible for providing reliable and scalable machine-learning capabilities across the organization. Partner with Data Scientists to design and produce machine learning models. Processes include testing and monitoring applications and front-end experiences. Convert machine learning models into mission-critical capabilities that drive customer experience. Research and discover new opportunities to shape products, tools, and technologies to improve business performance.

Requirements

• 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.
• Alternatively, 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.
• 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).
• Data Science Libraries and Algorithms (TensorFlow, Scikit, or PyTorch).

Responsibilities

• Providing reliable and scalable machine-learning capabilities across the organization.
• Partnering with Data Scientists to design and produce machine learning models.
• Testing and monitoring applications and front-end experiences.
• Converting machine learning models into mission-critical capabilities that drive customer experience.
• Researching and discovering new opportunities to shape products, tools, and technologies to improve business performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees