Senior Computer Vision & Machine Learning Engineer

Responsibilities

• Architect and lead end-to-end computer vision projects focused on equipment defect detection, thermal anomaly identification, and vegetation encroachment monitoring
• Drive innovation by incorporating advances in deep learning and generative AI to enhance model training 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

Requirements

• 7-10 years of industry experience in computer vision and machine learning
• Deep expertise in object detection, semantic segmentation, image classification, similarity search, and vision language models
• Proven track record of deploying and maintaining ML models in production
• Expert proficiency in PyTorch, Lightning, OpenCV, and Scikit-Learn
• Proficiency in FastAPI and Pydantic
• Strong software engineering foundation including Git, TDD (Pytest), CI/CD, ML DevOps, and Python type hinting
• 2-3 years of proven leadership experience of technical teams

Preferred Qualifications

• Experience with multi-modal computer vision
• Custom object detection model development
• Generative models for data augmentation
• ML deployment on edge devices
• Extracting measurements from GIS and/or drone metadata enriched imagery
• Model quantization and systematic hyperparameter tuning

About the Company

Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through advanced AI solutions, using computer vision to enhance safety and reliability across power grid networks.