Stage - Ingénieur(e) R&D : Automatisation du déploiement de traitements géospatiaux - Spatial - Toulouse
Core
Develop an open-source framework to automatically convert Jupyter notebooks into operational scientific and geospatial applications for the AntFlow platform.
Role type
Research & Development Intern (DevOps/ML Engineering)
Builds
AntFlow, an open-source platform for executing and orchestrating large-scale scientific and geospatial processing
Domain
Geospatial data processing, Cloud computing, Generative AI
Deliverable
production ML models
Required skills
Python, Jupyter, Kubernetes, Docker, OGC API Processes, OGC EOAP, CWL, Generative AI/LLM
Preferred skills
None stated
Technologies
Python, Jupyter, Kubernetes, Docker, OGC API Processes, OGC EOAP, CWL, Generative AI, LLM
Responsibilities
Analyze notebook code and dependencies automatically, identify input/output parameters, generate EO Application Packages, ensure compatibility with modern processing platforms, integrate applications into AntFlow
Seniority
Intern (6 months)
