Lead Computer Vision Engineer at Haldorix, a startup studio focused on industrial automation and retail solutions. The role involves designing and implementing a real‑time vision pipeline for textile production monitoring, including video processing, geometric calibration, model optimization, and system reliability. Requires 6‑9 years of experience, strong skills in OpenCV, Python, deep learning, GPU optimization, and documentation. Hybrid work in Casablanca with a CDI contract.

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

The Business Acceptance Testing Lead will spearhead the establishment of a high‑performance BAT practice in Casablanca, driving innovation, scaling services, and ensuring customer success across a global network. This role demands strategic vision, deep technical expertise in SAP Ariba modules, and a proven track record in leading multidisciplinary teams and delivering excellence in testing and automation.

We are seeking a visionary Business Acceptance Testing Lead to spearhead the expansion of our global BAT practice in Casablanca. The role demands a seasoned leader with 8+ years in testing, 3+ years in team leadership, and deep expertise in SAP Ariba modules. Responsibilities include building a high‑performing team, driving innovation with GenAI and automation, and ensuring customer satisfaction across a multicultural environment. The ideal candidate will possess strong stakeholder management, communication skills, and a proven track record of practice growth.

We are seeking a Full‑Stack Python/DevOps Engineer to join our Casablanca team. The role blends automation, computer vision, and scalable deployment across Kubernetes clusters. You will build data pipelines, develop RESTful APIs with Flask, containerize applications, and implement CI/CD workflows. The ideal candidate has 3‑5 years of experience, strong Python skills, and familiarity with Docker, Helm, and observability tools. This is a full‑time CDI with hybrid working, offering a dynamic startup environment and the chance to impact industrial AI projects.

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.

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.

Senior Tech Architect role at Haldorix in Casablanca. Lead design and validation of a real‑time industrial vision system for textile production lines. Requires 6‑9 years experience in system architecture, Kubernetes, Prometheus, Grafana, and computer vision. Hybrid working model with onsite deployment and QA. Strong communication in English and French.

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.