Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 56.000 € Brutto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du effiziente Pipelines zur Verarbeitung geospatialer Bilddaten und optimierst die Mechanismen für die Umwandlung und Auslieferung von Modellausgaben in produktionsreife Formate.
Job Technologien
Deine Rolle im Team
- Build and optimize preprocessing pipelines that ingest, tile, and transform geospatial imagery (GeoTIFF, multispectral, SAR, COG) for downstream ML inference.
- Develop postprocessing services that convert model outputs into production-ready deliverables: segmentation masks, probability maps, and vector detections in GeoPackage format.
- Design resilient, memory-efficient services for processing large-scale imagery through distributed worker pools.
- Work on our unified Huntr-to-Replika pipeline, automating the flow from detection outputs to 3D-ready terrain tiles with auto-generated configuration.
- Tackle challenges around coordinate reference systems, spatial indexing, and data format interoperability.
- Optimize for the unique characteristics of geospatial workloads: memory-bound processing, batch-heavy operations, and streaming large raster datasets.
Unsere Erwartungen an dich
Qualifikationen
- Understanding of coordinate reference systems and spatial data transformations.
- Familiarity with async processing patterns, task queues (Redis), and worker architectures.
- Solid understanding of PostgreSQL and working with large datasets.
- Strong software engineering fundamentals: testing, CI/CD, observability, reliability.
- You're outcome-oriented and enjoy optimizing systems for performance and scale.
- Familiarity with imagery processing or computer vision pipelines.
- Background deploying systems in regulated or air-gapped environments.
Erfahrung
- Strong practical knowledge of Python with experience building data-intensive applications.
- Experience with geospatial data formats, GDAL, or raster/vector processing.
- Experience with data pipelines, ETL processes, or batch processing systems.
- Ideally: Hands-on experience with Kubernetes in production environments.
- Experience with memory optimization for large file processing.
Benefits
Work-Life-Integration
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Blackshark.ai GmbH
Graz
blackshark.ai bietet leistungsstarke Einblicke in die Welt, indem es vollautomatisch Informationen aus Satellitenbildern extrahiert. Eine skalierbare künstliche Intelligenz bildet den Kern der Blackshark-Plattform und erkennt Merkmale mit unglaublicher Präzision und Geschwindigkeit.
Description
- Unternehmensgröße
- 50-249 Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom