Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.
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.
Top Skills
Fastapi
Opencv
Pydantic
Python
PyTorch
Scikit-Learn
Similar Jobs
Cloud • Software
As a Senior Machine Learning Engineer, you will design and deploy object detection models, collaborate with teams, and enhance ML solutions.
Top Skills:
Detectron2PythonPyTorchTensorFlowYolo
Social Media
Develop and prototype new generative models for Pinterest Canvas, oversee training data collection, mentor junior researchers, and publish findings.
Top Skills:
Computer VisionDiffusion ModelsMachine LearningPython
Cloud • Information Technology • Machine Learning
As Senior Manager Market Research & Intelligence, lead market intelligence efforts, execute primary research, conduct competitive analysis, and synthesize insights to inform strategy, drive revenue, and improve sales effectiveness.
Top Skills:
ExcelLookerPower BIPythonQualtricsRSQLSurveymonkeyTableau
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
