Lead computer vision projects focusing on defect detection, anomaly identification, and surveillance. Innovate with deep learning to enhance ML systems and mentor a team of engineers.
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
Git
Lightning
Opencv
Pydantic
Python
PyTorch
Scikit-Learn
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
