Haldorix, a dynamic startup studio headquartered in Casablanca, is on the lookout for a Lead Computer Vision Engineer to join its high‑impact team. The core mission is to own and deliver a fully functional, production‑ready real‑time vision system tailored for textile production monitoring. This system will process live video streams, detect and track objects, calibrate camera geometry, and provide actionable insights to optimize manufacturing workflows.

Key Responsibilities:

• Lead Computer Vision Pipeline: Oversee the end‑to‑end video‑processing chain, from acquisition to detection, tracking, and visualization.
• Geometric Calibration: Compute homographies to transform pixel coordinates into millimeter‑scale real‑world metrics, ensuring accurate measurements.
• Model Optimization: Fine‑tune the FACT‑tiny architecture for high performance and robustness in real‑time inference, leveraging GPU acceleration.
• System Reliability: Maintain consistent mAP metrics, monitor model drift, and troubleshoot in live environments.
• Documentation: Produce structured FSM (Finite State Machine) diagrams and detailed model specifications for future maintenance.
• Cross‑Functional Collaboration: Work closely with lead developers and product architects to align system components with business objectives.
• Performance Tuning: Optimize GPU usage, latency, and throughput for on‑edge or on‑premise deployments.
• Knowledge Transfer: Mentor internal teams through clear documentation and hands‑on training sessions.

Required Qualifications:

• 3+ years of hands‑on experience in Computer Vision (OpenCV, detection, tracking).
• Strong understanding of camera calibration and 2D/3D projective geometry.
• Proficiency in Python with scientific and vision libraries (NumPy, OpenCV, cv2).
• Deep knowledge of Deep Learning architectures for video processing.
• Experience optimizing GPUs for real‑time performance.

Nice to Have:

• Prior work in industrial automation or IoT vision systems.
• Familiarity with edge deployment and lightweight inference frameworks.
• Knowledge of DevOps workflows (Docker, Kubernetes, CI/CD).
• Experience mentoring or collaborating with multi‑disciplinary teams.
• Strong documentation and communication skills in English or French.

Benefits:

• Direct, measurable impact on industrial productivity.
• Exposure to real‑world AI challenges with immediate operational deployment.
• Opportunity to shape and deliver a full system end‑to‑end.
• Work alongside a team of experts combining AI, software, and industry know‑how.

Recruitment Process:

1. Jobzyn AI interview (25–45 min).
2. Technical interview (1h) with the Lead Developer or Technical Architect.
3. Practical test (2–3h) based on a real‑world use‑case.
4. Final interview with the team and partners.

Join Haldorix and contribute to transformative solutions that bridge the gap between cutting‑edge technology and real‑world operational challenges.