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.

z.systems, a VC-backed tech startup revolutionizing retail across Africa, seeks a Senior Machine Learning Engineer to lead computer vision initiatives. The role involves building detection and recognition pipelines, optimizing YOLO-based models, and deploying solutions in production. You will mentor junior engineers, collaborate with product and operations teams, and drive innovation in a fast‑paced environment. Candidates should have 4+ years of ML engineering experience, strong Python skills, and expertise in computer vision, synthetic data, and distributed training on AWS. Fluency in French and English is required. Join us to shape the future of retail in Africa.

We are seeking a Senior Machine Learning Engineer to lead the development of cutting‑edge computer‑vision solutions for our B2B2C retail platform. The role involves designing, training, and deploying state‑of‑the‑art models such as YOLO, DINO, and ViT on AWS infrastructure, while ensuring high performance on edge devices using TensorRT and TFLite. You will collaborate with product and data teams to generate synthetic data, build annotation pipelines, and optimize small‑object detection pipelines. Strong Python, PyTorch, and distributed‑training skills are essential, along with fluency in English and French.

We are seeking a Senior Machine Learning Engineer to lead the development of cutting‑edge computer vision solutions for the retail sector. The role focuses on building and scaling YOLO‑based object detection pipelines, integrating synthetic data generation, and deploying models on AWS and edge devices. Candidates will collaborate with product and data teams in Casablanca to deliver high‑performance vision models that drive customer engagement and operational efficiency.

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.

We are looking for an experienced ML Technical Lead to spearhead the development of a next‑generation shelf‑recognition system at z.systems. The role involves leading a small team, designing training pipelines for YOLOv8, managing synthetic data workflows, and ensuring robust deployment across our retail network. Candidates should have deep expertise in computer vision, PyTorch, and distributed training on AWS, along with strong leadership and communication skills.

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.

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 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.