cover image
MAGELLIUM ARTAL GROUP

MAGELLIUM ARTAL GROUP

www.magellium.com

2 Jobs

220 Employees

About the Company

Founded in 2003 in Toulouse, Magellium is a French tech company of 300 employees dedicated to digital geography and image processing mainly involved in Defense & Security, Space, Energy & Environment sectors. Technical teams are divided into two production sites in Toulouse (head office) and Paris (92 - Courbevoie).

Magellium has a recognized expertise in earth observation, geographic information systems, mapping technologies and vision based systems. Magellium offer includes consulting, technical & scientific studies, software & IT system development and software product distribution.

Listed Jobs

Company background Company brand
Company Name
MAGELLIUM ARTAL GROUP
Job Title
Tech Lead en Intelligence Artificielle pour l’Observation de la Terre F/H
Job Description
**Job title** AI Tech Lead – Earth Observation (F/M) **Role Summary** Lead the design, development, and deployment of deep‑learning solutions for satellite imagery within the Earth Observation unit. Serve as technical champion, driving innovation from project conception through industrialization while collaborating with agency partners (e.g., CNES, ESA) and research consortia. **Expectations** - Autonomously manage end‑to‑end AI projects, ensuring technical excellence and timely delivery. - Deliver high‑quality proposals, technical reports, and scientific publications. - Mentor a multidisciplinary engineering team, fostering skills growth and knowledge sharing. - Represent the organization at client meetings and conferences, communicating complex AI concepts clearly. **Key Responsibilities** 1. Conduct continuous technology surveillance of CNNs, foundation models, and computer‑vision methods. 2. Propose and evaluate new tools and methodologies to improve predictive performance and operational relevance. 3. Analyze client briefs, design custom architectures, and craft compelling technical responses to calls for proposals. 4. Lead research studies, from data preprocessing to model training, evaluation, and deployment pipelines. 5. Solve intricate technical challenges, make decisive architecture decisions, and uphold solution quality. 6. Supervise model training, fine‑tuning, and industrialization on scalable infra. 7. Generate scientific outputs (reports, conference presentations, peer‑reviewed papers). 8. Maintain rigorous documentation and facilitate cross‑team collaboration. **Required Skills** *Hard Skills* - Deep‑learning frameworks (PyTorch, TensorFlow) and model architecture design. - Satellite image processing, optical remote sensing, and advanced image filtering. - Applied mathematics, statistical analysis, and scientific computing in Python. - Critical evaluation of scientific literature and drafting of technical documents. - Proficiency in written and spoken English. *Soft Skills* - Strong curiosity and intellectual rigor in scientific domains. - Excellent communication for presentations and stakeholder discussions. - Team leadership, mentorship, and collaborative mindset. - Autonomy, accountability, and adaptability to emerging technologies. **Required Education & Certifications** - STEM degree from a top engineering or research institution (e.g., Grandes Écoles, universities). - PhD or equivalent in Computer Science, Applied Mathematics, or Image Processing preferred. - Minimum 5 years of professional experience in AI/Deep Learning, ideally with satellite imagery application.
Toulouse, France
On site
Senior
20-01-2026
Company background Company brand
Company Name
MAGELLIUM ARTAL GROUP
Job Title
Stage - Automatisation du processus de validation pour la qualité de l’eau
Job Description
**Job Title:** Internship: Automation of Validation Process for Water Quality **Role Summary** Develop and automate a tool to validate water quality satellite data against in situ measurements, ensuring algorithm reliability and usability for scientific and environmental applications. **Expectations** Create a standardized, automated validation tool hosted on CNES infrastructure for team-wide use, integrating continuously with evolving algorithms. **Key Responsibilities** 1. **Validation:** Learn and apply data processing algorithms and evaluation metrics for satellite-derived water quality parameters (e.g., chlorophyll-a, transparency). Analyze validation challenges and present results. 2. **In Situ Databases:** Retrieve, clean, and analyze disparate in situ datasets, identifying strengths/weaknesses. Select representative datasets for validation. 3. **Automation:** Develop and deploy Python-based validation code on CNES infrastructure for automated testing, generating performance reports with each algorithm update. **Required Skills** - Proficiency in **Python** for data processing and script development. - Familiarity with data validation methodologies, remote sensing principles, and water quality parameters. - Experience with database management and data cleaning. - Strong analytical and problem-solving abilities. **Required Education & Certifications** - Pursuing a **Bachelor’s/Master’s degree (Bac+5)** in data science, computer science, or environmental engineering. - Preference for specialization in **remote sensing** or **environmental data processing**. **Keywords:** Earth observation, remote sensing, data validation, automation, water quality, Python.
Ramonville-saint-agne, France
On site
10-02-2026