Buzz is looking to solve the problem of enhancing safety, reliability, and operational efficiency across the power grid network through advanced AI solutions.
Requirements
- Deep expertise in modern computer vision and deep neural networks including: Object detection, Semantic segmentation, Image classification, Similarity search, Vision language models
- Expert proficiency in PyTorch, Lightning, OpenCV, and Scikit-Learn
- Proficiency in FastAPI and Pydantic
- Strong software engineering foundation including: Git version control, Test driven development (Pytest), CI/CD, ML devops, Python type hinting
- Proven track record of deploying and maintaining ML models in production
Responsibilities
- Architect and lead end-to-end computer vision projects focused on: Equipment defect detection, Thermal anomaly identification, Vegetation encroachment monitoring, Surveillance of closed areas for human and animal intrusions
- Drive innovation by incorporating the latest advances in deep learning and generative AI to enhance model training, accuracy and reliability
- Develop production-grade Python libraries for the complete ML lifecycle
- Mentor team members and establish best practices for model development, evaluation, deployment, and monitoring
- Advocate for and uphold software quality standards within the ML team
Other
- 7-10 years of industry experience in computer vision and machine learning
- 2-3 years of proven leadership experience of technical teams
- This position does not include sponsorship for United States work authorization.
