Senior Computer Vision & Machine Learning Engineer
Buzz Solutions
This is a senior role, but it's built for someone early in their career who's ready to step up. You'll lead computer vision projects that actually matter—analyzing power grids to keep infrastructure safe and efficient. If you want to see your code affect real systems and mentor others while you grow, this moves you ahead faster than most entry-level positions.
Your day-to-day involves architecting end-to-end projects: detecting equipment defects, identifying thermal anomalies, monitoring vegetation, and flagging unauthorized intrusions. You'll incorporate new deep learning and generative AI advances into your models, write production Python libraries, mentor team members, and set standards for how ML work gets done. It's leadership without the corporate politics.
You're a fit if you have solid Python skills, hands-on experience building computer vision or ML systems, and a portfolio that shows you can take projects from concept to production. A degree in computer science, mathematics, physics, or similar helps, but your work speaks louder than your degree. You should care about code quality and be comfortable explaining your thinking to other engineers.
Apply through CareerJumpship. Include your GitHub, a brief note on your strongest computer vision or ML project, and your resume. Buzz will review applications rolling.
About this role
Job Description Buzz is revolutionizing the analytics and maintenance of power grid infrastructure through our advanced AI solutions. Our computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network. We're seeking an experienced Machine Learning Engineer to help lead our computer vision initiatives. You'll drive the development of cutting-edge models for power grid analysis and provide a leadership anchor on a team of talented ML engineers. 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 Qualifications & Experience 7-10 years of industry experience in computer vision and machine learning Deep expertise in modern computer vision and deep neural networks including: Object detection, Semantic segmentation, Image classification, Similarity search, 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 version control, Test driven development (Pytest), CI/CD, ML devops, Python type hinting 2-3 years of proven leadership experience of technical teams Desired Additional Experience 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 Systematic hyperparameter tuning Additional information: This position does not include sponsorship for United States work authorization. Originally posted on Himalayas
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