Computer Vision & Machine Learning Engineer
Core
Building foundational computer vision models for power grid infrastructure analysis, focusing on equipment defect detection, thermal anomaly identification, and vegetation encroachment monitoring.
Role type
Mid-level IC Computer Vision & Machine Learning Engineer
Builds
Production ML models for power grid safety and reliability
Domain
Energy / Power Grid / Computer Vision
Deliverable
production ML models
Required skills
Object detection, Semantic segmentation, Image classification, Vision transformers, Foundation models, Python, PyTorch, Lightning, OpenCV, NumPy, pandas, Scikit-Learn, Git, Pytest, GitHub Actions, Docker, Python type hinting
Preferred skills
None stated
Technologies
PyTorch, Lightning, OpenCV, NumPy, pandas, Scikit-Learn, Git, Pytest, GitHub Actions, Docker
Responsibilities
Adapt and implement algorithms from research papers for production viability, Design and execute experiments with hyperparameter tuning and ablation studies, Perform structured error analysis to categorize failure modes, Select and justify model architectures based on task requirements, Design and implement data pipelines including ingestion and annotation workflows, Build model serving pipelines meeting latency and throughput requirements, Conduct code reviews and write integration tests for ML pipelines
Seniority
Mid-level, hands-on IC
