Job Description
Esri’s Professional Services division is seeking an experienced Sr.
Key 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
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
- Bachelor's degree in computer science, mathematics, or STEM related field
- 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
- Experience in developing REST based services and cloud deployment patterns
- Understanding of key AI concepts, model evaluation and agentic workflows
- Experience with Agile development methodologies and CI/CD pipelines
- Master's degree in computer science, mathematics, or STEM related field
- #LI-DR5
Benefits & Perks
- Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
- A reasonable estimate of the base salary range is
- $123,136
- —
- $202,488 USD
Ready to Apply?
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