GeoAI System Architect
5 days ago
**About Us**
We are a leading provider of advanced geospatial data and AI solutions, empowering organizations to adapt and thrive in a changing world. Our mission is to deliver cutting-edge technology that tackles pressing global challenges, such as climate change.
We have a unique opportunity for a skilled GeoAI System Architect to join our team and contribute to the design and development of our flagship product. The successful candidate will work closely with our cross-functional team to define, build, and deploy cloud-scale training services for GeoSpatial Machine Learning models.
**Key Responsibilities**
- Own the design, development, deployment and support of our cloud-scale training services for GeoSpatial Machine Learning models
- Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that 'just work' for how DS and MLE approach GeoSpatial problems in the real world
- Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables
**Requirements**
- Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm
- Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo)
- Demonstrable experience with Python, Pandas, PyTorch, GDAL
**Salary Range**: $170,000 - $200,000 based on level of experience and location.
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