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.

We are looking for a seasoned MLOps Engineer to lead the deployment and optimization of Edge AI solutions across industrial sites. The role focuses on building end‑to‑end pipelines that integrate hardware, software, and data science to deliver high‑performance inference on embedded GPUs. Responsibilities include model optimization with TensorRT and ONNX, GPU benchmarking, CI/CD automation, and large‑scale orchestration using Kubernetes and fleet management tools. The ideal candidate has a strong background in MLOps, Edge computing, and deep learning, and is comfortable working in a fast‑moving startup studio environment.

We are seeking a Lead Computer Vision Engineer to spearhead the development of cutting‑edge vision solutions for industrial and retail applications. The role demands deep expertise in computer vision, OpenCV, camera calibration, and 2D/3D geometry, coupled with strong Python and GPU optimization skills. You will design and implement robust pipelines for detection, tracking, and inference on edge devices, while collaborating with cross‑functional teams and mentoring junior engineers. A minimum of six years of experience in AI and industrial automation is required, and fluency in English and French is essential.

We are seeking a Senior Machine Learning Engineer to lead the development of cutting‑edge computer‑vision solutions for our B2B2C retail platform. The role involves designing, training, and deploying state‑of‑the‑art models such as YOLO, DINO, and ViT on AWS infrastructure, while ensuring high performance on edge devices using TensorRT and TFLite. You will collaborate with product and data teams to generate synthetic data, build annotation pipelines, and optimize small‑object detection pipelines. Strong Python, PyTorch, and distributed‑training skills are essential, along with fluency in English and French.

We are seeking a Senior Machine Learning Engineer to lead the development of cutting‑edge computer vision solutions for the retail sector. The role focuses on building and scaling YOLO‑based object detection pipelines, integrating synthetic data generation, and deploying models on AWS and edge devices. Candidates will collaborate with product and data teams in Casablanca to deliver high‑performance vision models that drive customer engagement and operational efficiency.