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 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.

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.

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.

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 Computer Vision & ML Engineer to develop a real‑time productivity monitoring system for textile production lines. The role involves fine‑tuning video‑based models, designing training pipelines, and collaborating with engineering teams to integrate solutions into production. Candidates should have 2+ years of experience in deep learning, proficiency in PyTorch, and knowledge of video architectures such as FACT, SlowFast, or 3D CNNs. The position is a CDI in Casablanca with a hybrid working model.

We are looking for an experienced ML Technical Lead to spearhead the development of a next‑generation shelf‑recognition system at z.systems. The role involves leading a small team, designing training pipelines for YOLOv8, managing synthetic data workflows, and ensuring robust deployment across our retail network. Candidates should have deep expertise in computer vision, PyTorch, and distributed training on AWS, along with strong leadership and communication skills.