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.

Lead the company’s data strategy, driving data‑driven initiatives and ensuring optimal use of data to support business objectives. Oversee data teams, align projects with leadership priorities, and maintain data quality, security, and compliance with GDPR. Identify technology partnerships and foster a culture of innovation.

Computer Vision / Machine Learning Engineer – Model Training at Haldorix in Casablanca. Join a dynamic startup studio focused on turning operational challenges into scalable tech solutions. In this role you’ll design, fine‑tune, and deploy video‑based models for industrial vision, working on real‑time productivity monitoring for textile production lines. You’ll collaborate with a small, high‑performing engineering team, leveraging PyTorch, FACT, SlowFast, and 3D CNNs, and applying data augmentation, GPU optimisation, mixed precision, and MLOps practices. The position offers a hybrid work model, competitive salary, and the chance to shape cutting‑edge AI products in a fast‑paced environment.

Lead Novancy’s data vision, steering governance, architecture, analytics, and AI initiatives. Oversee data teams, align projects with business priorities, ensure GDPR compliance, and partner with cloud platforms. Ideal for a seasoned leader with 10+ years in data management and 5+ years in leadership, holding a degree in Computer Science or Data Science.

Head of Data Strategy at Novancy in Casablanca leads data governance, architecture, analytics, and AI initiatives. Oversee data teams, align projects with business priorities, ensure quality, security, and GDPR compliance. Identify tech partnerships, manage cloud platforms, and mentor junior staff. Requires 10+ years experience, leadership, expertise in Hadoop, Spark, SQL, NoSQL, AWS/Azure/GCP, DataOps, MLops, and strong strategic mindset and communication skills. Bachelor's in Computer Science/Data Science. Onsite role driving data-driven decisions.

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.

The Head of Data role at Novancy in Casablanca leads the company’s data strategy, defining vision, governance, architecture, analytics, and AI. You will manage data teams, ensure quality, security, and GDPR compliance, collaborate with leadership to align data projects with business priorities, and identify technology partnerships in Big Data and cloud platforms.

The Head of Data will lead the company’s data strategy, driving data‑driven initiatives and ensuring optimal use of data to support business objectives. Responsibilities include defining and implementing data vision, overseeing data teams, collaborating with leadership, ensuring data quality, security, and compliance, and identifying technology partnerships.