Computer Vision / Machine Learning Engineer – Model Training at Haldorix in Casablanca. Join a dynamic startup studio focused on turning operational challenges into scalable tech solutions. In this role you’ll design, fine‑tune, and deploy video‑based models for industrial vision, working on real‑time productivity monitoring for textile production lines. You’ll collaborate with a small, high‑performing engineering team, leveraging PyTorch, FACT, SlowFast, and 3D CNNs, and applying data augmentation, GPU optimisation, mixed precision, and MLOps practices. The position offers a hybrid work model, competitive salary, and the chance to shape cutting‑edge AI products in a fast‑paced environment.

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.

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.

Join a dynamic startup studio in Casablanca as a Computer Vision & ML Engineer. You will design, deploy, and optimize real‑time vision systems for industrial production lines, leveraging TensorRT, ONNX, and GPU benchmarking. The role demands strong Python skills, experience with CVAT and active learning pipelines, and a passion for delivering production‑grade solutions in a hybrid environment.

We are seeking a Computer Vision & ML Engineer to develop real‑time vision systems for industrial production lines. The role involves optimizing deep learning models with TensorRT and ONNX, managing active learning pipelines, conducting GPU benchmarking, and collaborating with cross‑functional teams to deliver production‑grade solutions.

We are seeking a Senior React Native Mobile Developer to lead the design, development, and optimization of our cross‑platform mobile applications for Android and iOS. The role involves building high‑performance, scalable apps, managing the full mobile lifecycle, and collaborating closely with backend, product, and design teams. Candidates should have strong expertise in React Native, TypeScript, Expo, and native module integration, along with experience in CI/CD pipelines, OTA updates, and app store publishing. The position is based in Casablanca with a hybrid working model, offering a dynamic environment in a fast‑growing tech startup focused on transforming retail across Africa.

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.

Senior Mobile Developer – React Native (Android, iOS & Expo) at z.systems is a key role in a fast‑growing VC‑backed tech company transforming retail across Africa. The position requires leading the design, development, and optimization of cross‑platform mobile applications, ensuring high performance, stability, and scalability. Responsibilities include building new features, maintaining existing flows, managing the full mobile lifecycle, handling Expo EAS builds, OTA updates, and CI/CD pipelines, and coordinating with backend, product, and design teams. Candidates must have 3+ years of experience in React Native, strong TypeScript skills, and expertise in Android Studio, Xcode, Firebase, REST/GraphQL APIs, and app store publishing. Fluency in English and French is required.

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.

Senior Solution Architect – Banking Domain. Lead technical direction for banking solutions, design end‑to‑end architectures, align roadmaps, optimize designs, and ensure regulatory compliance. Drive backlog grooming, impact analysis, and agile delivery across complex financial environments.