We are seeking a Lead Computer Vision Engineer to spearhead the development of cutting‑edge vision solutions for industrial and retail applications. The role demands deep expertise in computer vision, OpenCV, camera calibration, and 2D/3D geometry, coupled with strong Python and GPU optimization skills. You will design and implement robust pipelines for detection, tracking, and inference on edge devices, while collaborating with cross‑functional teams and mentoring junior engineers. A minimum of six years of experience in AI and industrial automation is required, and fluency in English and French is essential.

We are looking for a seasoned MLOps Engineer to lead the deployment and optimization of Edge AI solutions across industrial sites. The role focuses on building end‑to‑end pipelines that integrate hardware, software, and data science to deliver high‑performance inference on embedded GPUs. Responsibilities include model optimization with TensorRT and ONNX, GPU benchmarking, CI/CD automation, and large‑scale orchestration using Kubernetes and fleet management tools. The ideal candidate has a strong background in MLOps, Edge computing, and deep learning, and is comfortable working in a fast‑moving startup studio environment.

We are seeking a Tech Architect to lead the design and validation of a real‑time industrial vision system for textile production lines at Haldorix, a startup studio focused on turning operational challenges into scalable business solutions. The role involves defining system architecture, overseeing field deployment of cameras and AprilTags, ensuring QA and observability with Grafana, and producing comprehensive documentation. Candidates should have 3+ years of system architecture experience, expertise in Kubernetes, Prometheus, Grafana, computer vision, and strong communication skills in English and French. This is a full‑time hybrid position based in Casablanca with a competitive salary of 18,000–25,000 MAD per month.