Computer Vision Engineer

Main mission

Trains models to interpret images, videos, and sensor streams.

5 key responsibilities

• Develop detection, segmentation, and visual recognition models.
• Build and annotate high-quality visual datasets.
• Optimize models for embedded and real-time applications.
• Integrate vision into products: quality control, safety, health, retail.
• Evaluate model robustness in varied real-world conditions.

Key skills

CNN, Vision Transformers, YOLO, OpenCV, PyTorch, multimodal architectures.

What's expected

Robust visual systems outside the lab. Significant growth in health, defense, automotive, and industry.

Career paths

Lead Computer Vision, Multimodal Architect, Robotics and Autonomous Systems.