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Blender Technical Artist / Python Developer – Synthetic Data & Computer Vision
Summary by AIEngineer.careers
Blender Technical Artist / Python Developer – Synthetic Data & Computer Vision is a Computer Vision Engineer role (contract). with Sensing Feeling. in REMOTE, WORLDWIDE. Imported listing (source: jobsinuk.app). Apply on the employer's site (jobsinuk.app).
Imported listing (source: jobsinuk.app) · Apply on jobsinuk.app
REMOTE · WORLDWIDE
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Contract
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobsinuk.app
Sensing Feeling is seeking a Blender Technical Artist and Python Developer to build an automated synthetic-video generation system for computer vision projects. The role involves creating realistic 3D environments with rigged human avatars using procedural generation and AI-assisted development tools. You will develop a reusable framework to generate controlled variations of scenarios for training CV models.
Responsibilities
- Build automated synthetic-video generation systems for computer vision development
- Create realistic 3D environments with rigged human avatars performing defined behaviors
- Use Blender scripting (bpy) and procedural generation to create hundreds of scenario variations
- Develop parameterization and automated rendering pipelines
- Collaborate on integrating AI-assisted development tools into the workflow
Requirements
- Strong experience in Blender scripting and Python (bpy)
- Expertise in human animation/rigging and procedural scene generation
- Experience with parameterization and automated rendering
- Ability to work independently on a contract basis
- Technical art skills combined with software engineering capabilities
Sensing Feeling
Greater London · GB · 7+ employees
Sensing Feeling is a software development company that provides smart visual sensing solutions for real-world spaces. Their technology offers real-time digital twins and visual analytics for safety, risk management, and space usage insights.
