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.

Senior Tech Architect role at Haldorix in Casablanca. Lead design and validation of a real‑time industrial vision system for textile production lines. Requires 6‑9 years experience in system architecture, Kubernetes, Prometheus, Grafana, and computer vision. Hybrid working model with onsite deployment and QA. Strong communication in English and French.

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.