Computer Vision & Machine Learning Engineer

Buzz Solutions is revolutionizing the analytics and maintenance of power grid infrastructure through advanced AI solutions. They are seeking a Machine Learning Engineer to join their computer vision team, focusing on building foundational model capabilities and bridging the gap between research and production systems.

Responsibilities:

• 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:
• Equipment defect detection
• Thermal anomaly identification
• Vegetation encroachment monitoring
• 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