Job Description
The role involves designing and developing AI-driven geospatial data quality tools and software solutions for the ArcGIS platform, supporting organizations in maintaining accurate and reliable geospatial data through scalable machine learning pipelines and collaborative development in an Agile environment.
Key Responsibilities
- Design and develop geospatial data quality software and AI/ML components.
- Build scalable machine learning pipelines and data engineering processes.
- Develop, test, and integrate AI/ML algorithms for data quality enhancement.
- Collaborate with cross-functional teams including product engineers, researchers, and domain experts.
- Follow industry-standard design patterns, development methodologies, and deployment models.
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
Hybrid work environment
Ready to Apply?
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