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.

Lead Computer Vision Engineer at Haldorix, a Moroccan startup studio, will spearhead the development of a real‑time industrial vision system for textile production monitoring. The role demands expertise in computer vision pipelines, camera calibration, and deep‑learning model optimization for GPU‑accelerated inference. Candidates must be proficient in Python, OpenCV, and GPU performance tuning, with experience in edge deployment and DevOps workflows. The position offers a hybrid work model in Casablanca, a competitive monthly salary of 22 000–30 000 MAD, and the opportunity to shape end‑to‑end solutions that drive measurable industrial impact.

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.

Join Jobzyn Confidential as an Investment Analyst based in Casablanca, where you will evaluate investment opportunities across African markets and sectors. You will conduct comprehensive market research, build detailed financial models—including DCF, comparable company, and LBO analyses—and support due diligence processes. Your role includes preparing investment committee memoranda, monitoring portfolio performance, and engaging with management teams to drive value creation. Candidates should hold a bachelor’s degree in finance or related fields, with at least six months of experience in investment banking, private equity, or consulting. Proficiency in English and French is required, while Arabic is a strong advantage. This full‑time CDI offers a competitive salary of 16,000–25,000 MAD per month.

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 Technical Architect at Haldorix, a startup studio in Casablanca, will design and validate a real‑time industrial vision system for textile production lines. The role blends system architecture, Kubernetes, Prometheus, Grafana, and computer‑vision expertise to deliver a field‑ready solution. Candidates will oversee on‑site deployment, QA, and cross‑functional collaboration, ensuring alignment between technical and business stakeholders. This position offers immediate impact, autonomy, and the chance to shape a new AI venture from inception.

Tech Lead – Industrial Vision Platform at Haldorix, a venture studio transforming operational challenges into scalable tech solutions. You will own the architecture of a real‑time computer‑vision system for textile production lines, integrating MQTT, REST, WebSocket, and KPI aggregation services. Responsibilities include designing secure, observable infrastructure, coordinating cross‑functional teams, managing DevOps pipelines, and ensuring high‑performance delivery. Candidates should have 3+ years in software architecture, Python backend expertise, microservices and real‑time messaging, Kubernetes, Docker, Helm, Prometheus, Grafana, and strong bilingual communication. Join a fast‑paced, hybrid environment in Casablanca and lead impactful projects from concept to production and continuous improvement and innovation.

Enakl seeks a skilled Backend Engineer to enhance its NestJS platform, handling 30K+ monthly bookings. The role involves API development, database optimization, and ensuring system reliability. Candidates should have 3‑5 years of Node.js experience, proficiency in TypeScript, NestJS or Express, SQL, and TypeORM, plus familiarity with AWS services and Docker. Remote work is supported, with a CDI contract and a starting monthly salary of 16,000 MAD.

Senior Full‑Stack Engineer at Enakl will design and develop backend services using NestJS, build a Next.js back‑office, and enhance system reliability. You’ll model PostgreSQL data, design APIs, and contribute to CI/CD pipelines. The role focuses on clean code, performance, and scalability in a distributed environment. You’ll collaborate with remote senior engineers, share knowledge, and own features from conception to production. Enakl is a Moroccan mobility startup transforming daily commutes in emerging cities, aiming for safe, accessible, and sustainable transport through intelligent collective solutions. Join a lean, autonomous team that values autonomy, ownership, and continuous learning.

Computer Vision / Machine Learning Engineer – Model Training at Haldorix in Casablanca. Join a dynamic startup studio focused on turning operational challenges into scalable tech solutions. In this role you’ll design, fine‑tune, and deploy video‑based models for industrial vision, working on real‑time productivity monitoring for textile production lines. You’ll collaborate with a small, high‑performing engineering team, leveraging PyTorch, FACT, SlowFast, and 3D CNNs, and applying data augmentation, GPU optimisation, mixed precision, and MLOps practices. The position offers a hybrid work model, competitive salary, and the chance to shape cutting‑edge AI products in a fast‑paced environment.