Join Haldorix as a Python DevOps Full Stack Engineer in Casablanca. You will build automated pipelines, develop backend services with Flask, containerize applications using Docker and Helm, and deploy across Kubernetes clusters. The role blends full‑stack development, DevOps practices, and computer vision tasks, requiring 2+ years of experience, strong Python skills, and familiarity with CI/CD, Docker, Kubernetes, and AI tools. Work in a hybrid setting with a fast‑paced startup environment, contributing directly to scalable industrial AI products.

We are looking for a Python DevOps Full Stack Engineer to join our Casablanca-based startup studio. The role involves building automated pipelines, developing backend services with Flask, containerizing applications with Docker and Helm, and deploying across Kubernetes clusters. You will collaborate with a small, high‑energy team to deliver AI‑driven solutions in manufacturing, retail, and logistics. The ideal candidate has 2+ years of full‑stack experience, strong DevOps fundamentals, and proficiency in Python, Docker, Kubernetes, CI/CD, and RESTful APIs.

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.

We are seeking a Python DevOps Full Stack Engineer to join our Casablanca-based startup studio. The role blends automation, computer vision, and scalable deployment across Kubernetes clusters. Candidates will build data pipelines, develop RESTful APIs with Flask or FastAPI, and manage CI/CD workflows. Experience with Docker, Helm, and observability tools is essential. The position offers a hybrid work model, competitive salary, and the chance to shape cutting‑edge AI products.

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.