Computer Vision, Machine Learning Engineer

🕒 April 21

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Buzz Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚡ Energy

🤖 Artificial Intelligence

🔐 Security

Energy • Artificial Intelligence • Security

Buzz Solutions is a company specializing in visual intelligence solutions for the energy infrastructure sector. Their platform leverages artificial intelligence to inspect, maintain, and secure energy assets such as transmission lines, distribution grids, and substations. The company aims to modernize energy infrastructures by providing actionable intelligence to utility teams, enhancing operations, improving security, and optimizing project management. Buzz Solutions enables condition-based maintenance, detecting anomalies and defects quickly to prevent failures and manage vegetation effectively, especially during adverse weather conditions. The company collaborates with large utility organizations, offering technology that improves inspection efficiency, reduces maintenance costs, and enhances the reliability of energy supply.

📋 Description

• Stay current with ML/CV research, identify promising methods, and evaluate their applicability to our domain • Adapt and implement algorithms from papers, validating against baselines and benchmarking for production viability • Own and deliver end-to-end computer vision projects focused on: • Design and execute experiments with systematic hyperparameter tuning, ablation studies, and appropriate baselines • Perform structured error analysis: categorize failure modes (false positives, missed detections, localization errors, misclassifications) and break down performance by data slices (object size, occlusion, image quality) • Select and justify model architectures based on task requirements, latency, and accuracy tradeoffs • Design and implement data pipelines including ingestion, preprocessing, annotation workflows, and quality monitoring • Experiment tracking and model versioning (configurations, random seeds, dataset versions, environment specs, and model checkpoints) • Build model serving pipelines that meet latency and throughput requirements • Conduct thorough code reviews and write integration tests for ML pipelines • Communicate research findings, technical decisions, and model limitations clearly to stakeholders

🎯 Requirements

• 2-4 years of industry experience in computer vision and machine learning • Solid understanding of modern computer vision and deep neural networks including: • Demonstrated ability to read ML research papers, extract key ideas, and implement them • Experience adapting published methods to specific use cases and validating against baselines • Experience selecting, fine-tuning, and adapting model architectures (CNNs, transformers, foundation models) for specific use cases • Ability to debug training instabilities and conduct systematic error analysis • Proficiency in Python and core ML libraries: • Strong software engineering practices:

🏖️ Benefits

• * Buzz Solutions does not provide Visa sponsorship for work authorizations in the United States at this time *