Lead Computer Vision Engineer at Haldorix in Casablanca. Drive end‑to‑end vision pipelines for textile production monitoring. Oversee video acquisition, detection, tracking, calibration, and real‑time inference. Optimize GPU usage, ensure high mAP, and maintain robust documentation. Collaborate with developers and product architects. Requires 6‑9 years of experience, strong Python and OpenCV skills, deep learning knowledge, and fluency in English and French.

Yakeey, a leading PropTech startup based in Casablanca, is seeking an experienced Technical Lead to drive the development of its innovative real‑estate technology platform. The role involves overseeing a small but highly skilled engineering team, shaping the technical roadmap, and ensuring the delivery of scalable, high‑quality software. Candidates should bring deep expertise in Java, Spring Boot, microservices, and modern front‑end frameworks such as React and Next.js, along with a strong grasp of cloud infrastructure (AWS, Kubernetes, Terraform) and CI/CD practices. The position offers a hybrid work model, competitive benefits, and the opportunity to shape the future of property technology in Morocco.

We are seeking an experienced MLOps Engineer – Edge AI Specialist to design and deploy on‑premise inference infrastructure for industrial vision systems. The role involves building hybrid edge/cloud architectures, optimizing deep learning models for embedded GPUs, and maintaining CI/CD pipelines for edge deployment. The ideal candidate will have 3–5 years of experience in MLOps, edge computing, and GPU performance profiling, with strong skills in Python, Docker, Kubernetes, and monitoring tools. This position offers the chance to work in a fast‑moving startup studio focused on scalable AI ventures.

We are seeking an experienced MLOps Engineer – Edge AI Specialist to lead the design and deployment of on‑premise inference infrastructure for industrial vision systems. The role involves architecture of hybrid edge/cloud solutions, model optimization for embedded GPUs, CI/CD pipeline development, fleet management, and compliance with GDPR. The ideal candidate has 3‑5 years of production experience, expertise in TensorRT, ONNX, Kubernetes, and Python, and a strong background in real‑time analytics and GPU performance profiling.