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Sr AI Engineer - Computer Vision

Lowe's is a Fortune 50 home improvement company serving approximately 16 million customer transactions weekly across 1,700+ stores in the United States.
Charlotte, NC, USA
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS · Retail

Description For Sr AI Engineer - Computer Vision

Lowe's, a Fortune 50 home improvement retailer with over 1,700 stores nationwide, is seeking a Senior AI Engineer specializing in Computer Vision to join their technology team in Charlotte. This role is crucial for developing and maintaining their AI-powered Computer Vision platform that supports various ML models and deep learning frameworks.

The position offers an exciting opportunity to work at the intersection of retail and cutting-edge AI technology. You'll be responsible for scaling model performance, building essential tools and frameworks, and managing compute resources efficiently. The role requires expertise in Python, PyTorch, TensorFlow, and modern MLOps practices.

As a Sr AI Engineer, you'll collaborate with data scientists to integrate complex CV models into production systems, optimize GPU/CPU resource usage, and establish robust data pipelines. You'll also be instrumental in implementing security protocols and driving continuous platform improvements based on performance metrics and user feedback.

The ideal candidate brings 4+ years of experience in ML platform engineering and Computer Vision, with strong expertise in Python, deep learning frameworks, and MLOps tools. You should be comfortable working with microservices, containerization, and message brokers. Experience with model optimization techniques and real-time video processing is highly valued.

Lowe's offers comprehensive benefits including competitive salary, stock purchase options, 401(k) matching, extensive healthcare coverage, and generous parental leave. You'll be part of a company that values innovation while maintaining a stable 100-year track record of success, working on technology that directly impacts millions of customers' shopping experiences.

Last updated 19 days ago

Responsibilities For Sr AI Engineer - Computer Vision

  • Scale the platform for high performance and integrate new AI capabilities
  • Design, develop, and implement tools and frameworks for ML experimentation and deployment
  • Manage GPU and CPU resources to optimize execution of CV and AI models
  • Work closely with data scientists to integrate AI-CV models into platform
  • Create and manage efficient data movement and pipelines
  • Analyze platform performance metrics and drive continuous improvement
  • Implement security protocols and governance measures for AI-CV platform

Requirements For Sr AI Engineer - Computer Vision

Python
Kubernetes
  • Bachelor's Degree in science, technology, engineering, math, or related field (or equivalent work experience)
  • 4+ years of Python programming language experience
  • 4+ years hands-on experience in Pytorch, tensorflow and building/deploying Computer Vision models
  • 4+ years of experience working with continuous integration/continuous deployment tools
  • 3+ years hands-on experience OpenCV, scikit-image, or PIL for basic image processing
  • 3+ years of experience working with GPU and CPU infrastructure
  • 3+ years of experience in microservice architecture, Docker, Kubernetes
  • 3+ years of experience with message brokers such as Kafka or RabbitMQ
  • 3+ years of experience in MLflow, Kubeflow, or DVC for managing model lifecycle
  • 3+ years of experience in defining technical requirements and high-level design

Benefits For Sr AI Engineer - Computer Vision

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Paid time off for vacation, holidays, sick leave, and volunteer time
  • 401(k) retirement account with company match up to 4.25%
  • Employee Stock Purchase Plan (ESPP) with 15% discount
  • Comprehensive medical, dental, and vision insurance
  • 10 weeks paid maternity leave and 4 weeks paid parental leave
  • Mental health care and Employee Assistance Programs
  • Adoption assistance

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