Position: ML Engineer
Category: Data Science
English level: fluent
Years of experience: 3


Developing, testing, and deploying Computer Vision models for a cutting-edge robotic-assisted medical platform focused on in vitro fertilization procedures. The platform integrates state-of-the-art technologies to enable real-time detection, tracking, and morphological classification of spermatozoa and oocytes, along with event detection from microscope camera feeds. 
Responsibilities:
Orchesttrated the complete lifecycle of Computer Vision models targeting diverse objectives (object detection and tracking, instance segmentation, video classification)
Optimized model performance for real-time execution, considering computational efficiency and resource constraints
Fostered dynamic collaboration with other members of the R&D team to ensure seamless integration of newly developed modules into the existing system architecture
Engaged in continuous R&D activities to pioneer innovative solutions in the field
Environment and Tools: C++, QT, Python, PyTorch, OpenCV, ONNX, TensorRT, CUDA