🎯 Mission

Design, train, and industrialize computer vision models to improve the reliability of detection and tracking systems within Vizzia’s Safety scope.

This role has a direct impact on the safety, robustness, and real-world performance of deployed AI systems.

🛠 Key Responsibilities

• Design, train, and evaluate computer vision models (object detection, tracking, multimodal recognition).

• Industrialize models in collaboration with DevOps and Data Engineering teams: deployment, monitoring, and versioning.

• Optimize inference performance (latency, cost, GPU consumption) using TensorRT / ONNX / Jetson.

• Structure and document experiments with scientific rigor (reproducibility, protocols, metrics).

• Provide technical mentorship to junior data scientists and support their skill development.

• Actively contribute to scientific watch and technology choices for future Safety AI components.

✅ Profile

• Master’s degree or higher in Computer Science, Applied Mathematics, or equivalent.

• 4+ years of experience, including at least 2 years in applied Computer Vision (excluding pure research).

• Strong proficiency with Deep Learning frameworks (PyTorch, TensorFlow).

• Proven experience with object detection and tracking models (YOLO, Faster R-CNN, RetinaNet, etc.).

• Experience manipulating or fine-tuning vision-language models (CLIP, Gemini, GPT-4, etc.).

• Solid understanding of image preprocessing pipelines and edge-case handling.

• Hands-on experience in MLOps: production deployment, monitoring, and model versioning.

• Good understanding of cloud and scalability constraints.

• Strong communication skills with the ability to explain complex technical topics clearly.

• Collaborative mindset, strong sense of ownership, and high autonomy.

⭐ What Will Make You Stand Out

• Strong scientific curiosity and active monitoring of the latest advances in computer vision and generative AI.

• Passion for projects with tangible, measurable impact on urban safety and performance.

• Humble mindset with a focus on continuous learning.

• Ability to share knowledge and mentor others.

• A “build & iterate” mentality: test, measure, and continuously improve.