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.

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 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.

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.