We are looking for a seasoned MLOps Engineer to lead the deployment and optimization of Edge AI solutions across industrial sites. The role focuses on building end‑to‑end pipelines that integrate hardware, software, and data science to deliver high‑performance inference on embedded GPUs. Responsibilities include model optimization with TensorRT and ONNX, GPU benchmarking, CI/CD automation, and large‑scale orchestration using Kubernetes and fleet management tools. The ideal candidate has a strong background in MLOps, Edge computing, and deep learning, and is comfortable working in a fast‑moving startup studio environment.

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.

We are seeking a Head of Data to lead our data strategy, drive data-driven initiatives, and ensure optimal use of data to support business objectives. The role involves defining and implementing data vision, governance, architecture, analytics, and AI. You will oversee data teams, collaborate with leadership, ensure data quality, security, and compliance with GDPR, and identify technology partnerships. Required experience includes 10+ years in data management, 5+ years in leadership, expertise in Hadoop, Spark, SQL, NoSQL, cloud platforms, and knowledge of DataOps and MLops. A degree in Computer Science or Data Science is required. Join us in Casablanca to shape our data future.

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.

Head of Data role at Novancy in Casablanca. Lead data strategy, governance, architecture, analytics, AI. Oversee data teams, align projects with business priorities, ensure quality, security, GDPR compliance. Identify partnerships with Big Data tools, cloud platforms. Requires 10+ years experience, 5+ in leadership, expertise in Hadoop, Spark, SQL, NoSQL, AWS/Azure/GCP, DataOps, MLops. Strong communication, strategic mindset. Degree in Computer Science or Data Science. Join Novancy, a leading staffing and talent recruitment firm in Information Systems and Digital Transformation. Drive data-driven initiatives to support business objectives and innovation. The role offers a dynamic environment, opportunities for professional growth, and the chance to shape the company's data culture.

Novancy, a leading staffing and recruitment consultancy in Morocco, is seeking a Head of Data to spearhead its data strategy. Based in Casablanca, the role will define and implement a comprehensive data vision covering governance, architecture, analytics, and AI. The incumbent will lead cross‑functional data teams, ensure data quality, security, and compliance with GDPR, and forge technology partnerships across Big Data and cloud platforms. With over 10 years of experience and a strong background in Hadoop, Spark, SQL, NoSQL, and cloud services, the candidate will align data initiatives with business priorities, driving data‑driven decision making across the organization. The role offers a dynamic environment with opportunities for professional growth and the chance to shape the company's data‑driven culture.

We are seeking a Head of Data to lead our data strategy, drive data‑driven initiatives, and ensure optimal use of data to support business objectives. The role involves defining and implementing data vision, overseeing data teams, collaborating with leadership, ensuring data quality, security, and compliance with GDPR, and identifying technology partnerships. Candidates should have 10+ years of experience in data management, including 5+ years in leadership, expertise in Hadoop, Spark, SQL, NoSQL, AWS/Azure/GCP, and strong communication skills. A degree in Computer Science, Data Science, or related field is required.