Senior Computer Vision & Machine Learning Engineer
Buzz Solutions3 hours ago
Responsibilities
- Own end-to-end computer vision projects from problem framing and planning through production deployment and monitoring.
- Develop solutions for equipment defect detection, thermal anomaly identification, vegetation encroachment monitoring, and closed-area intrusion surveillance.
- Research, adapt, implement, and benchmark methods from machine learning and computer vision papers.
- Design experiments involving hyperparameter tuning, ablation studies, baselines, and structured error analysis.
- Select and fine-tune model architectures based on accuracy, latency, and task requirements.
- Build Python libraries, data pipelines, annotation workflows, quality monitoring, model-serving pipelines, and reproducible experiment-tracking systems.
- Conduct code reviews, write integration tests, and uphold software quality standards for ML systems.
- Deliver client projects, communicate technical decisions and model limitations, and collaborate with other engineers.
Requirements
- 5–10 years of industry experience in computer vision and machine learning.
- Deep expertise in object detection, semantic segmentation, image classification, vision transformers, foundation models, vision-language models, and similarity search.
- Proven experience deploying and maintaining machine learning models in production.
- Experience selecting, fine-tuning, and adapting CNN, transformer, and foundation-model architectures.
- Ability to read research papers, implement key ideas, debug training instabilities, and perform systematic error analysis.
- Proficiency with Python, PyTorch, Lightning, OpenCV, NumPy, pandas, Scikit-Learn, FastAPI, and Pydantic.
- Strong software engineering practices involving Git, Pytest, GitHub Actions, Docker, experiment tracking, model versioning, and Python type hinting.
- Ability to independently own technical projects from problem framing through production deployment.
- Additional experience with multimodal computer vision, custom object detection, generative models for data augmentation, edge-device deployment, GIS or drone-metadata-enriched imagery, model quantization, or systematic hyperparameter tuning is desired.
- This position does not include sponsorship for United States work authorization.
Categories
About Buzz Solutions
Buzz Solutions provides a platform for teams to manage and analyze data, collaborate, and export inspection results, fostering smart, stable, and resilient infrastructure inspections. We automate the process of infrastructure inspections for faults and anomalies by analyzing millions of visual data points captured by helicopters, drones and linemen in the field. Using our solution, our customers are saving immense time and money as a part of their inspections, while drastically improving the efficiency of their infrastructure inspections.