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.

Haldorix, a Moroccan startup studio, seeks a Tech Architect to lead the design and implementation of an industrial vision system. The role blends system architecture, distributed systems, Kubernetes, Prometheus, Grafana, and computer vision expertise to deliver a robust, real‑time textile inspection platform. Candidates will calibrate hardware, validate field performance, and ensure quality assurance across production lines. Strong documentation, communication, and bilingual (English/French) skills are essential. The position offers a hybrid work model with a competitive salary of 18,000–25,000 DH per month.

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.

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.

Tech Lead – Industrial Vision Platform at Haldorix, a venture studio transforming operational challenges into scalable tech solutions. You will own the architecture of a real‑time computer‑vision system for textile production lines, integrating MQTT, REST, WebSocket, and KPI aggregation services. Responsibilities include designing secure, observable infrastructure, coordinating cross‑functional teams, managing DevOps pipelines, and ensuring high‑performance delivery. Candidates should have 3+ years in software architecture, Python backend expertise, microservices and real‑time messaging, Kubernetes, Docker, Helm, Prometheus, Grafana, and strong bilingual communication. Join a fast‑paced, hybrid environment in Casablanca and lead impactful projects from concept to production and continuous improvement and innovation.

Lead Technical Engineer at Haldorix, a venture studio in Casablanca, will design and integrate a real‑time industrial vision platform for textile production lines. The role requires ownership of distributed architecture, KPI aggregation, secure infrastructure, and DevOps automation. Candidates must have 3+ years of software architecture experience, strong Python backend skills, microservices expertise, and proficiency with MQTT, WebSocket, SSE, Kubernetes, Helm, Docker, Prometheus, and Grafana. Fluency in French and English is essential. The position offers a hybrid working model, a competitive salary of 18,000–25,000 MAD per month, and the chance to lead impactful projects in a fast‑moving startup environment.

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.

Lead Computer Vision Engineer at Haldorix, a startup studio focused on industrial automation and retail solutions. The role involves designing and implementing a real‑time vision pipeline for textile production monitoring, including video processing, geometric calibration, model optimization, and system reliability. Requires 6‑9 years of experience, strong skills in OpenCV, Python, deep learning, GPU optimization, and documentation. Hybrid work in Casablanca with a CDI contract.

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.

We are seeking a Technical Lead to design and build a real‑time industrial vision platform for textile production lines. The role involves architecting a distributed system using MQTT, REST, and WebSocket, implementing KPI aggregation with Prometheus, and ensuring secure, observable infrastructure across cloud and on‑premise environments. The ideal candidate will lead cross‑functional teams, drive DevOps automation, and maintain high performance standards while collaborating closely with founders and engineers.