Novancy Consulting, a leading staffing and recruitment specialist in Information Systems and Digital Transformation, is partnering with a global insurance leader to recruit a Product Owner – Core Insurance Platform (BMP). The role is a hybrid leadership position blending product ownership, team mentorship, and strategic consulting. The successful candidate will drive the BMP rollout, ensuring alignment between business vision and agile delivery, while mentoring Business Analysts and fostering team growth. With 8–12 years of experience, strong background in core insurance platforms, and expertise in backlog management, SAFe, and cross‑functional leadership, you will shape product vision, manage stakeholder expectations, and uphold regulatory compliance. Join us to lead a key transformation squad in a dynamic, high‑impact environment.

This role is a pivotal position within a leading global insurance provider, focusing on the development and enhancement of the Core Insurance Platform (BMP). The Product Owner will lead cross‑functional teams, manage the product backlog, and ensure alignment with business objectives. Responsibilities include stakeholder facilitation, agile ceremonies, and driving large‑scale transformation initiatives. The ideal candidate brings 8‑12 years of experience as a Business Analyst, Product Owner, or Lead Consultant, with deep knowledge of core insurance platforms such as BMP, ABS, and Guidewire. The position offers a hybrid work model, combining on‑site presence in Casablanca and Rabat with remote collaboration.

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.

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.

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.

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.

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.

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.

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.