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.

Senior Learning Development Manager responsible for designing, implementing, and overseeing learning initiatives across Orange Business in Salé Al Jadida, Morocco. Collaborates with business leaders, HRBPs, and external partners to create tailored learning plans, manage LMS, and ensure high-quality training delivery. Requires strong consulting, project management, and adult learning expertise, with a background in IT/Telecom and bilingual capabilities.

Orange Business seeks a Business Intelligence & Performance Analyst to drive data‑driven insights for its Wholesale Voice unit. The role blends strategic analysis, reporting, automation, and cross‑functional collaboration across commercial, finance, and operations teams. Candidates will leverage Excel, Dataiku, and emerging AI tools to forecast trends, monitor performance, and support budget planning. The position offers a hybrid work model, global mobility, and a competitive salary starting at €1,700/month.

Sales Team Lead Morocco – Join Glovo’s high‑velocity sales team in Casablanca. In this role you will build, coach, and lead a dynamic sales force, driving partner acquisition and revenue growth across the region. You’ll set clear targets, monitor performance, and foster a culture of continuous improvement. With a strong background in high‑performance sales, startup environments, and CRM mastery (Salesforce), you’ll inspire the team to exceed quotas and deliver exceptional results. This hybrid position offers flexibility, competitive benefits, and the chance to shape Glovo’s expansion in Morocco.

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.