Lead Digital Factory Architect at Orange Middle East and Africa (OMEA) – a senior role driving the technical vision across the Digital Factory’s projects. You will shape architectural guidelines, design product architectures using Clean Architecture, Hexagonal Architecture, DDD, and BDD, and lead the Design Authority. The position requires strong leadership, stakeholder engagement, and expertise in cloud, API management, service mesh, and DevOps practices. You will collaborate with engineering, product, security, and country-level teams to deliver scalable, secure, and reusable solutions.

Lead the Business Acceptance Testing (BAT) practice in Morocco, building a high‑performing team, driving innovation, and ensuring customer success across a global network.

We are seeking a Supply Chain Data Analyst to join our analytics team in Casablanca. The role focuses on transforming raw supply‑chain data into actionable insights using Power BI, Python, and SQL. Responsibilities include building data pipelines, automating processes, and creating dynamic dashboards to support decision‑making across supply‑chain functions. The ideal candidate has expert‑level Power BI skills, strong programming in Python and SQL, and experience with data engineering best practices, automation tools, and advanced reporting. This full‑time, permanent position offers a collaborative environment and opportunities for professional growth.

Join Haldorix as a Python DevOps Full Stack Engineer in Casablanca. You will build automated pipelines, develop backend services with Flask, containerize applications using Docker and Helm, and deploy across Kubernetes clusters. The role blends full‑stack development, DevOps practices, and computer vision tasks, requiring 2+ years of experience, strong Python skills, and familiarity with CI/CD, Docker, Kubernetes, and AI tools. Work in a hybrid setting with a fast‑paced startup environment, contributing directly to scalable industrial AI products.

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 Technical Lead to design and build a real‑time industrial vision platform for textile production lines. The role involves architecting a distributed system using MQTT, REST, and WebSocket, implementing KPI aggregation with Prometheus, and ensuring secure, observable infrastructure across cloud and on‑premise environments. The ideal candidate will lead cross‑functional teams, drive DevOps automation, and maintain high performance standards while collaborating closely with founders and engineers.

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.

We are looking for a Python DevOps Full Stack Engineer to join our Casablanca-based startup studio. The role involves building automated pipelines, developing backend services with Flask, containerizing applications with Docker and Helm, and deploying across Kubernetes clusters. You will collaborate with a small, high‑energy team to deliver AI‑driven solutions in manufacturing, retail, and logistics. The ideal candidate has 2+ years of full‑stack experience, strong DevOps fundamentals, and proficiency in Python, Docker, Kubernetes, CI/CD, and RESTful APIs.

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.