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.

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 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.

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.

Senior Data Engineer – Platform & Analytics. Join Yakeey, a fast‑growing PropTech company in Casablanca, to build and maintain a high‑performance data stack that powers analytics, reporting and AI services. You will design ELT pipelines, model data with dbt, orchestrate workflows with Prefect, and ensure data governance. The role requires 6‑9 years of experience, strong SQL, AWS, Python, and a passion for emerging AI technologies.

Senior Data Engineer – Platform & Analytics. Lead the design, maintenance, and optimization of a high‑performance data stack using AWS services (Postgres RDS, Redshift, S3). Build ELT pipelines with Airbyte, model data with dbt, and orchestrate workflows via Prefect. Collaborate with product, operations, and analytics teams to deliver actionable insights, enforce data governance, and support AI initiatives such as LLMs, MCP, and RAG. Requires 6‑9 years of experience, strong SQL, Python/Java skills, and a passion for emerging data technologies.

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.