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.

We are seeking an experienced MLOps Engineer – Edge AI Specialist to lead the design and deployment of on‑premise inference infrastructure for industrial vision systems. The role involves architecture of hybrid edge/cloud solutions, model optimization for embedded GPUs, CI/CD pipeline development, fleet management, and compliance with GDPR. The ideal candidate has 3‑5 years of production experience, expertise in TensorRT, ONNX, Kubernetes, and Python, and a strong background in real‑time analytics and GPU performance profiling.

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.

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.

Senior Tech Architect role at Haldorix in Casablanca. Lead design and validation of a real‑time industrial vision system for textile production lines. Requires 6‑9 years experience in system architecture, Kubernetes, Prometheus, Grafana, and computer vision. Hybrid working model with onsite deployment and QA. Strong communication in English and French.

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, based in Casablanca. This role supports large-scale mining, energy, infrastructure, and sustainable projects across Africa and the MENA region. Responsibilities include sector analysis, complex financial modeling (DCF, M&A, PPP), feasibility studies, investment memoranda, due diligence, and transaction execution. Candidates should hold a Master’s in Finance, Economics, or Engineering, possess strong Excel and financial modeling skills, and be fluent in English and French. The position offers a hybrid working arrangement and a dynamic, growth-oriented environment.