z.systems, a fast‑growing VC‑backed tech company, is transforming traditional retail across Africa through a full‑stack B2B2C digital ecosystem. Based in Casablanca, the company seeks a Senior Backend Engineering Lead to drive backend development, architect scalable transactional and gamification systems, and mentor a high‑performing engineering team. The role demands 6‑9 years of experience, strong leadership, and expertise in Node.js, Prisma, PostgreSQL, AWS, and system reliability. Candidates should be fluent in French and English, hold a BAC+5, and thrive in a dynamic, collaborative environment.

Yakeey is seeking a dynamic Technical Lead to spearhead the engineering team in Casablanca, driving the development of cutting‑edge PropTech solutions. The role blends hands‑on software engineering with strategic leadership, overseeing a small squad of 3‑4 senior developers, guiding architecture decisions, and ensuring high‑quality code through rigorous testing and code reviews. Candidates must excel in Java, Spring Boot, micro‑services, and cloud technologies (AWS, Kubernetes, Terraform), while also possessing a passion for AI innovations such as large language models and retrieval‑augmented generation. The hybrid work model offers flexibility, and the company culture emphasizes rapid iteration, continuous learning, and a collaborative environment.

Lead the AI Factory in Casablanca, driving innovative AI product development and fostering a culture of continuous improvement. Manage multidisciplinary teams, oversee budgets, and collaborate with stakeholders to deliver AI solutions that align with market demands.

About the Role

Haldorix, a private startup studio focused on AI-driven solutions for industry, manufacturing, and retail, is seeking a Lead Computer Vision Engineer to build a cutting‑edge vision system for textile production monitoring. The engineer will lead the design, implementation, and continuous improvement of a full video‑processing pipeline that captures high‑resolution footage, performs geometric calibration, detects and tracks objects, and visualizes results in real time. The system must be robust, scalable, and ready for deployment on edge devices with limited resources.

Key Responsibilities

• Architect and develop the end‑to‑end computer vision pipeline using OpenCV, deep‑learning models, and custom algorithms.
• Perform camera calibration and 2D/3D projective geometry to ensure accurate measurements.
• Optimize deep‑learning models for GPU acceleration, ensuring real‑time inference performance.
• Document system design, model parameters, and calibration procedures for future maintenance.
• Collaborate with software developers, product managers, and industrial engineers to align vision solutions with business objectives.
• Deploy models on edge platforms and manage lightweight inference frameworks.
• Implement DevOps practices (Docker, Kubernetes, CI/CD) for continuous integration and deployment.

Required Qualifications

• Strong background in computer vision, OpenCV, and camera calibration.
• Proficiency in Python and scientific libraries such as NumPy, OpenCV, and cv2.
• Experience with deep‑learning architectures for video processing.
• GPU optimization skills for real‑time performance.
• Knowledge of industrial automation and edge deployment.
• Excellent documentation and communication skills in English (and French).

What We Offer

Hybrid work environment (remote and on‑site in Casablanca), competitive monthly salary ranging from 22,000 to 30,000 MAD, and the opportunity to work on transformative AI products that improve operational efficiency across multiple sectors.

Orange Business seeks a Data Business Analyst & Adoption Lead to drive AI platform adoption across its global customer base. The role blends data analytics, platform engineering, and stakeholder engagement to ensure scalable, secure AI solutions. Candidates will collaborate with data scientists, engineers, and operations teams, leveraging cloud, MLOps, and DevOps practices to industrialize AI use cases. This hybrid position offers flexibility, continuous learning, and opportunities for career progression within a leading digital integrator.