Tech Lead – Architecture & Code Quality at WafR is a senior role focused on ensuring the architectural integrity and code quality of a leading FinTech platform. The candidate will own the entire stack, drive design decisions, lead code reviews, and mentor the engineering team. Responsibilities include defining technical standards, automating quality gates, managing technical debt, and collaborating closely with product owners to translate business requirements into robust solutions. The role demands strong experience in microservices, CI/CD, cloud platforms, and Agile practices, with a proven track record of delivering scalable, secure, and high‑availability systems. Candidates should also possess excellent communication skills to bridge technical and non‑technical stakeholders, and a proactive mindset to anticipate and mitigate risks.

Novancy is seeking a Lead Business Analyst to spearhead the deployment of the BMP platform across its insurance clients. The role demands deep expertise in business analysis, requirements engineering, and process modeling (BPMN). Candidates will manage stakeholder expectations, facilitate workshops, and refine backlog items using agile tools such as Jira, Confluence, and Visio. With 8‑10 years of experience, including 6+ years in insurance domain knowledge and familiarity with BMP/ABS/GRP2/Guidewire platforms, you will drive governance standards, define acceptance criteria, prepare UAT, and mentor junior analysts. This position offers a dynamic, cross‑functional environment in Casablanca and Rabat.

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.