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.

We are seeking a Computer Vision & ML Engineer to develop real‑time vision systems for industrial production lines. The role involves optimizing deep learning models with TensorRT and ONNX, managing active learning pipelines, conducting GPU benchmarking, and collaborating with cross‑functional teams to deliver production‑grade solutions.

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 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.

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.

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.

Lead a small team of developers to deliver high‑quality features for Yakeey’s PropTech platform. Drive architecture, coding standards, and mentoring while balancing hands‑on development and coordination. Collaborate with product managers, architects, and cross‑functional teams to refine requirements, anticipate dependencies, and plan releases. Champion continuous improvement of development processes, CI/CD pipelines, testing, and documentation. This role requires strong expertise in Java, Spring Boot, micro‑services, and cloud platforms, with a passion for AI technologies and a proven ability to guide a team toward excellence.

Tech Lead at Yakeey, a fast‑growing PropTech company based in Casablanca, Morocco, will spearhead a small team of developers to deliver high‑quality features aligned with the product roadmap. The role blends hands‑on development with mentorship, ensuring adherence to micro‑services architecture, coding standards, and best practices. Responsibilities include translating product requirements into actionable tasks, coordinating releases, and driving continuous improvement of CI/CD pipelines and testing processes. Candidates should possess strong expertise in Java/Spring Boot, React/Next.js, AWS, Kubernetes, and Terraform, along with a passion for AI technologies such as LLMs and RAG. The position offers a hybrid work model and a competitive environment focused on transforming real‑estate transactions.