[Remote] Machine Vision Engineer

Descrição da Vaga

Requisitos

• 8+ years of experience in computer vision and machine learning
• Strong proficiency in Python and C++
• Expertise with OpenCV, scikit-image
• Hands-on experience with TensorFlow, PyTorch
• Experience with YOLO, Detectron2, and open-source vision models
• Knowledge of camera hardware, lighting, and industrial environments
• Familiarity with automated ML pipelines and orchestration tools
• Experience with CI/CD and real-time performance tuning
• Industrial vision systems and robotics integration
• 3D vision, LiDAR, and sensor fusion
• Cloud-based ML pipelines and distributed inference

Responsabilidades

• This role focuses on vision-based systems for real-time inspection, anomaly detection, and automation across locomotives, freight cars, and yard equipment, directly impacting logistics efficiency and operational safety
• Build robust machine vision systems for object detection, classification, and anomaly detection in rail environments
• Select cameras (sensor type, resolution, shutter type) for industrial and outdoor conditions
• Choose lenses based on focal length, depth of field, and distortion control
• Configure optimal distance to object, viewing angle, and mounting stability
• Implement lighting strategies (front, back, diffuse, structured)
• Account for glare, shadows, and color temperature variations
• Implement and optimize vision algorithms using TensorFlow, PyTorch, and OpenCV
• Customize open-source frameworks such as YOLO, Detectron2, and MMDetection
• Select and fine-tune pre-trained base models
• Build automated pipelines for training, validation, and deployment
• Monitor performance and retrain models based on accuracy and drift detection
• Work with LabelImg, CVAT, and Roboflow to maintain high-quality datasets
• Optimize for real-time, high-volume image processing
• Implement monitoring and diagnostics to ensure system uptime and accuracy