Job Description
The role involves designing and developing AI-driven geospatial data quality tools and scalable machine learning pipelines within the ArcGIS platform, supporting organizations in maintaining accurate and consistent geospatial data. It requires collaboration with cross-functional teams to create robust, production-ready software solutions for the GIS community.
Key Responsibilities
- Design and develop geospatial data quality software and AI/ML components.
- Build scalable machine learning pipelines and data engineering processes.
- Analyze and improve software algorithms related to geospatial data quality.
- Collaborate with cross-functional teams including product engineers, researchers, and domain experts.
- Develop and integrate AI/ML algorithms into product releases following industry standards.
Requirements
- 5 years of professional experience in a similar position supporting responsibilities with emphasis on Python, Machine learning or AI systems
- Strong understanding of object-oriented principles, software architecture, and API design
- Ability to analyze software algorithms and identify improvements
- Experience with software development using Python, ML frameworks, and RAG systems
- Bachelor's degree in computer science, mathematics, or STEM related field
Benefits & Perks
Industry-leading health and welfare benefits including medical, dental, and vision insurance
Basic and supplemental life insurance for employees and their families
401(k) and profit-sharing programs
Minimum of 80 hours of vacation leave
Twelve paid holidays throughout the year
Opportunities for personal and professional growth
Competitive base salary ranging from $118,976 to $197,600 USD
Ready to Apply?
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