Esri's Professional Services division is seeking to advance the next generation of geospatial data quality capabilities across the ArcGIS platform
Requirements
- 5+ years of professional experience in a similar position supporting similar 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
- Familiarity and knowledge with C++ in large-scale or performance-critical software environments is beneficial
- Experience analyzing large geospatial datasets and working with vector databases
- Knowledge of the ArcGIS platform, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise and enterprise geodatabases
Responsibilities
- Develop Python-based machine learning components that enhance how users assess, understand, and improve spatial data quality
- Build software that follows industry-standard design patterns, development methodologies, and deployment models
- Design, develop, test, and integrate AI/ML algorithms as part of product releases and evolve data quality capabilities for customers
- Build scalable ML pipelines and data engineering processes to improve overall system architecture
- Work collaboratively with product engineers, researchers, Professional Services product teams, and domain experts
- Work effectively in an Agile Scrum team environment and iterative development cycles
Other
- Bachelor's degree in computer science, mathematics, or STEM related field
- Master's degree in computer science, mathematics, or STEM related field
- Travel requirements not specified
- Clearance requirements not specified
- Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law