MLOps Engineer
Core
Own the full MLOps lifecycle for detection models identifying pathologies in dental radiographs, ensuring clinical credibility through research to production deployment.
Role type
MLOps Engineer (Computer Vision)
Builds
Production ML models for dental radiograph analysis
Domain
Healthcare / Medical Imaging / Computer Vision
Deliverable
production ML models
Required skills
PyTorch, object detection frameworks (YOLO, DETR), inference optimization (ONNX, TensorRT, quantization), model architecture design, evaluation methodology (precision, recall, calibration, sensitivity/specificity), data pipelines, experiment tracking, model versioning
Preferred skills
Medical imaging (DICOM, radiograph modalities), PhD in relevant field
Technologies
PyTorch, YOLO, DETR, ONNX, TensorRT
Responsibilities
Maintain and improve training and evaluation infrastructure including data pipelines and annotation tooling; Drive rigorous model evaluation on real clinical data; Optimize model inference for production latency and throughput; Contribute to research direction and problem tractability
Seniority
Mid-Senior, hands-on IC