Urgent! Senior Technology Manager, AI & ML Job Opening In Richmond – Now Hiring CarMax
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238CarMax, the way your career should be!
About this job
At CarMax, a Senior Technology Manager, AI & ML is a key leader in providing reliable and scalable machine-learning capabilities across the organization.
The Senior Technology Manager will be responsible for overseeing multiple portfolios of ML and AI capabilities and solutions.
In this role you will support managers and their teams of engineers to help prioritize business needs and drive innovative solutions for two teams.
One of those teams is focused on Generative AI use cases and helping to accelerate partner teams development using Generative AI.
The second that this manager will support is focused on customer journey modeling and guiding CarMax customers through their optimal buying journey by providing predictive inputs at key moments.
The ideal candidate will have a passion and understanding of Data Science, Machine Learning and AI 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 CarMax’s iconic customer experience.
Essential Responsibilities:
Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships
Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations
Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams’ achievements
Create the strategic roadmap that will guide 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
Empower your direct reports to lead their teams 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
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
Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc.
This role will have on-call expectations to be available for major incidents and issues that affect your team’s applications.
Minimum Qualifications:
Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Optional for sponsorship needs: Master’s Degree in Computer Science, Computer Engineering, or relevant technical field
10+ 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
5+ years’ experience managing direct reports
5+ years’ experience with microservices software architecture
5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
5+ 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 Authorization: Applicants must be currently authorized to work in the United States on a full-time basis.
Sponsorship will not be considered for this specific role.
Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center and have a Hybrid work arrangement.
About CarMax
CarMax 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®.
Our Commitment to Diversity and Inclusion:
CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.
CarMax 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.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
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Unlock Your Senior Technology Potential: Insight & Career Growth Guide
Real-time Senior Technology Jobs Trends in Richmond, United States (Graphical Representation)
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Great news! CarMax is currently hiring and seeking a Senior Technology Manager, AI & ML to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CarMax adheres to the cultural norms as outlined by Expertini.
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Before the Interview:To prepare for your Senior Technology Manager, AI & ML interview at CarMax, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the CarMax's products or services and be prepared to discuss how you can contribute to their success.
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