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.

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.

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.

We are seeking an experienced MLOps Engineer – Edge AI Specialist to design and deploy on‑premise inference infrastructure for industrial vision systems. The role involves building hybrid edge/cloud architectures, optimizing deep learning models for embedded GPUs, and maintaining CI/CD pipelines for edge deployment. The ideal candidate will have 3–5 years of experience in MLOps, edge computing, and GPU performance profiling, with strong skills in Python, Docker, Kubernetes, and monitoring tools. This position offers the chance to work in a fast‑moving startup studio focused on scalable AI ventures.

Lead Computer Vision Engineer at Haldorix in Casablanca. Drive end‑to‑end vision pipelines for textile production monitoring. Oversee video acquisition, detection, tracking, calibration, and real‑time inference. Optimize GPU usage, ensure high mAP, and maintain robust documentation. Collaborate with developers and product architects. Requires 6‑9 years of experience, strong Python and OpenCV skills, deep learning knowledge, and fluency in English and French.

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 Haldorix as a Computer Vision & ML Engineer focused on inference and model deployment. You will optimize deep learning models with ONNX and TensorRT, manage active learning pipelines, benchmark GPU performance, and collaborate with cross‑functional teams to deliver real‑time vision solutions for industrial production lines.

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.

We are seeking a Full‑Stack Python/DevOps Engineer to join our Casablanca team. The role blends automation, computer vision, and scalable deployment across Kubernetes clusters. You will build data pipelines, develop RESTful APIs with Flask, containerize applications, and implement CI/CD workflows. The ideal candidate has 3‑5 years of experience, strong Python skills, and familiarity with Docker, Helm, and observability tools. This is a full‑time CDI with hybrid working, offering a dynamic startup environment and the chance to impact industrial AI projects.

Lead the Business Acceptance Testing (BAT) practice in Casablanca, driving strategic growth, operational excellence, and innovation. Oversee a high‑performing team, manage stakeholder relationships, and implement next‑generation testing methodologies, including GenAI, automation, and UX. This role requires deep expertise in SAP Ariba modules and a proven track record in customer engagement and practice expansion.