Orange Business is seeking a Senior Mobile Core Network Engineer to design, deploy, and support cutting‑edge 4G/5G core network solutions across its global portfolio. The role involves creating high‑level and low‑level designs, coordinating CI‑CD pipelines, and ensuring seamless integration in lab, pre‑production, and production environments. Candidates must possess deep expertise in LTE/5G architectures, 3GPP standards, and core network elements such as AMF, SMF, and UPF. Strong skills in functional, performance, and end‑to‑end testing, CI‑CD automation, and containerized deployments on RedHat OpenShift are essential. The position offers a hybrid work model, competitive compensation, and opportunities for continuous learning within a dynamic, multicultural team.

Novancy seeks a freelance GraphTalk AIA Technical Expert to support insurance product development. The role involves collaborating with project managers, supervising design engineers, and transferring technical skills. Candidates must hold a Computer Science degree, possess significant experience with Graphtalk AIA, and be proficient in English (C1/C2). The assignment is 6 months renewable, fully remote, and requires strong technical specification writing and AIAV4 configuration knowledge.

Novancy is seeking a highly skilled GraphTalk AIA Expert for a 6‑month freelance assignment in the insurance sector. The role is fully remote, offering the flexibility of working from anywhere while collaborating closely with Novancy’s Information Systems and Digital Transformation teams. Candidates must bring deep technical and functional knowledge of Graphtalk AIA, AIAV4 product configuration, and application code development. They will design and document technical specifications, support product management actions, and liaise with insurance clients to ensure seamless implementation of new insurance solutions. Fluency in English at a C1/C2 level is mandatory, as the position involves frequent communication with international stakeholders. This opportunity is ideal for professionals who thrive in dynamic, client‑centric environments and enjoy driving innovation from a freelance perspective.

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.

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