Backend Engineer, ML systems
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About the role
GalaxEye develops Earth observation satellites and platforms combining satellite data, AI analytics, and geospatial intelligence. You will build backend services and offline ML systems that process satellite imagery and deliver geospatial analytics.
What you'll do
- Build backend services and APIs for satellite data and geospatial analytics
- Design databases and data flows for large imagery datasets
- Deploy and monitor self-hosted ML models in offline environments
- Develop inference pipelines that account for batching, latency, and GPU constraints
- Build analyst-facing tools and components for intelligence workflows
- Create evaluations and monitoring for probabilistic systems
Skills
Must have
- Backend engineering
- ML engineering
- Systematic debugging
- Machine learning
Nice to have
- Geospatial analytics
- Remote sensing
- Model serving
- Air-gapped deployments
- Reproducible builds
- Gpu-based inference
- Observability
- Machine learning evaluation
Tools
- Gdal
- Rasterio
- Qgis
- Triton
- Onnx runtime
- Vllm
- Docker
- Kubernetes
Who it's for
- Experience
- 1 to 3 years
- Domain
- space tech
About GalaxEye
GalaxEye has 33 open roles in Bangalore, at GalaxEye Space. See every GalaxEye role.
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