We are seeking a dedicated Chemical Sample Preparation Technician to join our Imaging and Characterization CoreLab at Mohammed VI Polytechnic University. The role involves preparing geological and metallographic samples, performing XRF analyses, and ensuring high-quality, reproducible results for internal researchers and external partners. Candidates should have a bachelor’s degree in laboratory science, geology, or related fields, 3‑5 years of laboratory experience, and strong skills in sample preparation, microscopy, and analytical techniques. The position offers a CDI contract, onsite work in Benguerir, and opportunities for professional growth within a leading research institution.

Technician in Chemical Preparation and Analysis at UM6P CoreLabs in Benguerir, Morocco. Responsible for preparing, processing, and analyzing geological and metallographic samples using advanced techniques such as litholamellar, polishing, and XRF spectroscopy. The role includes sample cutting, polishing, etching, and chemical treatments for electron microscopy and microanalysis. Candidates must hold a Bachelor’s degree in laboratory science, geology, or related fields, with 3–5 years of laboratory experience. Proficiency in English, strong attention to detail, and knowledge of safety and quality protocols are essential. The position offers a permanent CDI contract with on-site work in Benguerir and occasional travel to Marrakech. The role also involves maintaining laboratory inventory, training staff, and ensuring compliance with health and safety regulations.

We are seeking a Platform Manager to lead the X-ray Characterization Platform at UM6P CoreLabs. The role involves overseeing platform operations, managing a team of engineers and technicians, ensuring high-quality sample analysis, and maintaining SOPs. Candidates should have a PhD, 3–5 years of experience in X-ray techniques, strong leadership, and excellent communication skills in English and French.

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.

We are seeking a Full‑Stack Python/DevOps Engineer to join our Casablanca team. The role blends automation, computer vision, and scalable deployment across Kubernetes clusters. You will build data pipelines, develop RESTful APIs with Flask, containerize applications, and implement CI/CD workflows. The ideal candidate has 3‑5 years of experience, strong Python skills, and familiarity with Docker, Helm, and observability tools. This is a full‑time CDI with hybrid working, offering a dynamic startup environment and the chance to impact industrial AI projects.

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 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.

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.

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.

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.