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 Technical Engineer at Haldorix, a venture studio in Casablanca, will design and integrate a real‑time industrial vision platform for textile production lines. The role requires ownership of distributed architecture, KPI aggregation, secure infrastructure, and DevOps automation. Candidates must have 3+ years of software architecture experience, strong Python backend skills, microservices expertise, and proficiency with MQTT, WebSocket, SSE, Kubernetes, Helm, Docker, Prometheus, and Grafana. Fluency in French and English is essential. The position offers a hybrid working model, a competitive salary of 18,000–25,000 MAD per month, and the chance to lead impactful projects in a fast‑moving startup environment.

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.

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.

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 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.

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.

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.