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Mid LevelFull-timePythonMachine LearningData ScienceAgileScrumAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Esri’s Professional Services division is seeking a Software Development Engineer to support the evolution of geospatial data quality capabilities across the ArcGIS platform. This role involves designing and developing software that helps GIS professionals ensure quality and consistency in their geospatial data.
Key Responsibilities
- →Develop Python-based machine learning and GenAI components that support geospatial data quality workflows
- →Assist in building AI-driven features that help users assess, validate, and improve spatial data quality
- →Contribute to GenAI-enabled pipelines using embeddings, vector search, and retrieval-augmented generation (RAG)
- →Write well-tested, maintainable, and documented code that meets product quality standards
- →Build software adhering to industry-standard design patterns, development methodologies, and deployment models, with a focus on AI-driven solutions
- →Collaborate with cross-functional teams, including data scientists, developers, engineers, and product managers, to drive AI initiatives throughout the development lifecycle
- →Work within Agile Scrum team environment, contributing to sprint planning, reviews, and continuous improvement efforts
Requirements
- ✓2+ years of professional software development or data science experience in similar roles with a focus on structured data analysis and Gen AI workflows
- ✓Strong proficiency in Python, with experience implementing algorithms that operate on structured datasets
- ✓Experience working with data transformation, aggregation, or feature construction as part of analytical or AI-driven workflows
- ✓Understanding of object-oriented programming principles and backend software design
- ✓Familiarity with machine learning concepts such as pattern recognition, similarity analysis, or predictive modeling
- ✓Bachelor’s degree in computer science, mathematics, or a related STEM field
