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 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.