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.

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 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.

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.

We are seeking a Computer Vision & ML Engineer to develop real‑time vision systems for industrial production lines. The role involves optimizing deep learning models with TensorRT and ONNX, managing active learning pipelines, conducting GPU benchmarking, and collaborating with cross‑functional teams to deliver production‑grade solutions.

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.

Senior Financial Advisory Consultant at JESA Advisory & Digital Solutions in Casablanca. Lead financial analysis, modelling, and transaction support for large-scale infrastructure, energy, and mining projects across Africa and the Middle East. Requires 6‑9 years of experience, a Master’s degree, and fluency in English and French.

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.

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.

Join a dynamic startup studio in Casablanca as a Computer Vision & ML Engineer. You will design, deploy, and optimize real‑time vision systems for industrial production lines, leveraging TensorRT, ONNX, and GPU benchmarking. The role demands strong Python skills, experience with CVAT and active learning pipelines, and a passion for delivering production‑grade solutions in a hybrid environment.