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.

Join Haldorix as a Python DevOps Full Stack Engineer in Casablanca. You will build automated pipelines, develop backend services with Flask, containerize applications using Docker and Helm, and deploy across Kubernetes clusters. The role blends full‑stack development, DevOps practices, and computer vision tasks, requiring 2+ years of experience, strong Python skills, and familiarity with CI/CD, Docker, Kubernetes, and AI tools. Work in a hybrid setting with a fast‑paced startup environment, contributing directly to scalable industrial AI products.

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.

Join Haldorix as a Computer Vision ML Engineer to develop real‑time vision systems for industrial production lines. You will optimize and deploy deep learning models using ONNX and TensorRT, manage active learning pipelines, benchmark GPU performance, and collaborate with cross‑functional teams to ensure robust, production‑grade solutions.

Lead Computer Vision Engineer at Haldorix, a Moroccan startup studio, will spearhead the development of a real‑time industrial vision system for textile production monitoring. The role demands expertise in computer vision pipelines, camera calibration, and deep‑learning model optimization for GPU‑accelerated inference. Candidates must be proficient in Python, OpenCV, and GPU performance tuning, with experience in edge deployment and DevOps workflows. The position offers a hybrid work model in Casablanca, a competitive monthly salary of 22 000–30 000 MAD, and the opportunity to shape end‑to‑end solutions that drive measurable industrial impact.

We are looking for a Python DevOps Full Stack Engineer to join our Casablanca-based startup studio. The role involves building automated pipelines, developing backend services with Flask, containerizing applications with Docker and Helm, and deploying across Kubernetes clusters. You will collaborate with a small, high‑energy team to deliver AI‑driven solutions in manufacturing, retail, and logistics. The ideal candidate has 2+ years of full‑stack experience, strong DevOps fundamentals, and proficiency in Python, Docker, Kubernetes, CI/CD, and RESTful APIs.

We are seeking a Computer Vision & ML Engineer to develop a real‑time productivity monitoring system for textile production lines. The role involves fine‑tuning video‑based models, designing training pipelines, and collaborating with engineering teams to integrate solutions into production. Candidates should have 2+ years of experience in deep learning, proficiency in PyTorch, and knowledge of video architectures such as FACT, SlowFast, or 3D CNNs. The position is a CDI in Casablanca with a hybrid working model.

Senior React Native Mobile Developer needed to lead cross‑platform mobile app development for a fast‑growing tech startup transforming retail across Africa. Responsibilities include building, optimizing, and maintaining high‑performance Android and iOS apps, managing CI/CD pipelines, and collaborating with backend, product, and design teams. Requires 6‑9 years of experience, strong expertise in React Native, TypeScript, Expo, and native modules, plus knowledge of REST/GraphQL APIs, OTA updates, and app store publishing.

Join Haldorix as a Computer Vision & ML Engineer focused on inference and model deployment. You will optimize deep learning models with ONNX and TensorRT, manage active learning pipelines, benchmark GPU performance, and collaborate with cross‑functional teams to deliver real‑time vision solutions for industrial production lines.