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.

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 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.

z.systems, a fast‑growing VC‑backed tech company, seeks a Senior Machine Learning Engineer to lead computer vision initiatives across its B2B2C retail ecosystem in Morocco. The role involves building YOLO‑based detection pipelines, optimizing synthetic data workflows, and deploying models on AWS and edge devices. Candidates should have 4+ years of ML engineering experience, proficiency in Python, PyTorch, and distributed training, and a strong background in computer vision and retail tech. The position is a full‑time CDI based in Casablanca, requiring French and English communication skills.

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 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.

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.

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.

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.