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Jobs found
Senior React Native Mobile Developer
z.systems
Casablanca
Hybride

We are seeking a Senior React Native Mobile Developer to lead the design, development, and deployment of high‑performance cross‑platform mobile applications for our fast‑growing tech startup based in Casablanca. The role involves building native modules, integrating with Firebase, managing OTA updates, and ensuring seamless publishing on both Google Play Store and Apple App Store. You will collaborate closely with product managers, UI/UX designers, and backend teams to deliver robust, scalable solutions using TypeScript, Expo, and CI/CD pipelines.

Today
Computer Vision & ML Engineer
Haldorix
casablanca
Hybride

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.

Today
Computer Vision & ML Engineer
Haldorix
casablanca
Hybride

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.

Today
Senior Machine Learning Engineer
z.systems
casablanca
On site

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.

Today
Senior Machine Learning Engineer
z.systems
casablanca
On site

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.

Today
Senior React Native Mobile Developer
z.systems
casablanca
Hybride

We are seeking a Senior React Native Mobile Developer to lead the design, development, and maintenance of our cross‑platform mobile applications. The role involves building high‑performance Android and iOS apps, integrating native modules, managing OTA updates, and ensuring continuous delivery pipelines. You will collaborate closely with product, design, and backend teams to deliver scalable, user‑centric mobile experiences that power our digital retail ecosystem.

Today
ML Technical Lead – Computer Vision
z.systems
casablanca
On site

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.

Today