Spyrosoft
4 months ago
GeoAI Architect/GeoAI Lead @ Spyrosoft
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Company information
- Company
- Spyrosoft
- Location
- Polska Poland
- Posted
- 4 months ago
Job description
- A degree in Business Administration, Computer Science, Engineering, or Geoinformatics / Earth Observation (or related field).
- Deep understanding of the geospatial domain, with strong knowledge of satellite and Earth Observation (EO) data sources (e.g., Sentinel, Landsat, commercial constellations).
- Previous experience in a Geo Data Engineer or similar role, with solid expertise in diverse geospatial data sources, standards, and technologies (STAC, OGC, WMS, WMTS, TiTiler, GeoServer).
- Proven hands-on experience delivering cloud-based geospatial platforms and orchestrating cloud-native data workflows (Kubernetes, Dask, Airflow, Flyte, Argo, Prefect).
- Strong proficiency in Python, cloud platforms (AWS, Azure, or GCP), and AI/ML techniques - including deep learning for computer vision and time series (ResNet, U-Net, YOLO, Transformers).
- Experience designing and implementing GeoAI architectures that combine AI/ML models with geospatial data pipelines.
- Strong understanding of AI/ML lifecycle management, from model training to deployment and monitoring.
- Excellent ability to structure complex issues, lead problem-solving efforts, and articulate clear strategies and recommendations.
- Proven track record in leading GeoAI projects or teams, managing stakeholder expectations, and maintaining strong client relationships.
- Innovative thinking and proactive approach to identifying, framing, and solving technical and business challenges.
- Excellent communication and presentation skills in English (both technical and executive-level).
Join Spyrosoft’s growing Data & AI Unit as a GeoAI Architect / GeoAI Lead, and take the lead in building cutting-edge geospatial and AI-driven solutions that connect technology, analytics, and real-world impact. This is a strategic role for someone passionate about turning data into insights and insights into tangible business value - across industries where geospatial and Earth Observation (EO) data are at the heart of digital transformation.
Project description:As part of Spyrosoft’s strategic growth and commitment to innovation, this role aims to expand our GeoAI capabilities by designing and delivering enterprise-grade geospatial architectures.You will lead the creation of cloud-based GeoAI platforms, integrate satellite imagery and AI analytics into client systems, and help organizations unlock the business potential hidden in spatial data.You’ll collaborate with multidisciplinary teams - from software engineers and data scientists to business stakeholders - to ensure that technical solutions are robust, scalable, and aligned with client objectives.
Tech stack:- AI / Machine Learning / Computer Vision: Python, ResNet, U-Net, YOLO, Transformers
- Geospatial & Earth Observation: Sentinel, Landsat, STAC, OGC, WMS, WMTS, TiTiler, GeoServer
- Cloud & Infrastructure: AWS, Azure or GCP, Docker, Kubernetes
- Data Processing & Orchestration: Dask, Airflow, Flyte, Argo, Prefect
- CI/CD & Development Tools: CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI)
Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.
Required skills
- docker
- english
- automotive
- engineering
- industry 4.0
- ci/cd
- financial services
- python
- aws
- kubernetes
- jenkins
- github actions
- airflow
- gcp
- azure
- apis
- gitlab ci
- machine learning
- software engineer
- ai/ml
- analytics
- wms
- computer science
- business administration
- digital transformation
- deep learning
- transformers
- pre-sales
- sentinel
- business goals
- computer vision
- offer creation
- satellite imagery
- earth observation
- geospatial
- solution design
- prefect
- project execution
- satellite
- data scientists
- analytical insights
- software engineers
- technical delivery
- ai-driven solutions
- domain expertise
- healthcare & life sciences
- geoserver
- data-driven solutions
- spatial data
- time series
- argo
- data processing pipelines
- yolo
- client business objectives
- dask
- geoinformatics
- resnet
- analytical tasks
- architectural direction
- earth observation (eo)
- ai analytics
- enterprise workflows
- flyte
- stac
- employee experience & education
- ogc
- geospatial domain
- landsat
- commercial constellations
- geo data engineer
- geospatial data sources
- wmts
- titiler
- cloud-based geospatial platforms
- cloud-native data workflows
- u-net
- geoai architectures
- ai/ml lifecycle management
- geoai projects
- geoai teams
- data & ai unit
- enterprise-grade geospatial architectures
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