Sr AI Engineer – Computer Vision
| Company | Lowe’s |
|---|---|
| Location | Charlotte, NC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Bachelor’s Degree in science, technology, engineering, math, or related field (or equivalent work experience in lieu of degree) and 4 years of experience in ML platform engineering, Computer Vision, data, and MLOps tools, and ML frameworks
- 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, optimizing ML models for performance
- 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 the lifecycle of models
- 3+ years of experience in defining technical requirements and performing high-level design for complex solutions
Responsibilities
- Scales the platform for high performance and integrates new AI capabilities as application programming interfaces to ensure the platform remains adaptable and efficient in hosting a variety of ML models.
- Designs, develops, and implements tools and frameworks that support ML experimentation and deployment.
- Manages graphics processing unit (GPU) and central processing unit (CPU) resources to optimize the execution of CV, AI models to ensure the platform runs efficiently, balancing performance with cost-effectiveness.
- Works closely with data scientists to integrate AI – CV models smoothly into platform.
- Creates and manages efficient data movement and pipelines for the AI – CV platform to operate smoothly. Optimizes data flows to support the demands of high-velocity AI – CV model training and inference.
- Analyzes platform performance metrics and user feedback to drive continuous improvement initiatives. Utilizes insights to guide platform enhancements, ensuring the AI platform remains at the forefront of technological advancements and user satisfaction.
- Collaborates effectively with diverse teams, integrating technical expertise with business insights and user needs.
- Implements security protocols and governance measure for AI-CV platform, ensuring data integrity and compliance with industry standards and best practices.
Preferred Qualifications
- Master’s Degree in science, technology, engineering, math, statistics, physics, economics, data science, information science, or quantitative analytics
- 3+ years of experience in SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI, Spark
- Techniques for reducing inference time, including model pruning, quantization, and optimized inference with TensorRT or ONNX Runtime.
- Nvidia deep learning stacks and model serving frameworks
- Familiarity with Prometheus, Grafana, and ELK Stack for monitoring and logging
- Familiarity and experience with Torchserve or FastAPI
- Experience with real-time or offline video processing pipeline with Deep learning application development