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python rag genai geospatial embeddings📋 Description
- Develop Python-based ML and GenAI components for geospatial data quality.
- Help build AI-driven features to assess and improve spatial data quality.
- Contribute to GenAI pipelines using embeddings, vector search, and RAG.
- Write well-tested, maintainable, and documented code meeting product quality.
- Build software with standard design patterns and AI-driven solutions.
- Collaborate with cross-functional teams to drive AI initiatives.
- Work in an Agile Scrum team, contribute to sprint planning and reviews.
🎯 Requirements
- 2+ years in software or data science focusing on structured data and GenAI.
- Strong Python proficiency with algorithms on structured datasets.
- Experience with data transformation, aggregation, or feature construction.
- Understanding OOP and backend software design.
- Familiarity with ML concepts like pattern recognition and predictive modeling.
- Bachelor’s degree in CS, math, or related STEM.
🎁 Benefits
- Medical, dental, and vision insurance.
- Life insurance for employees and families.
- 401(k) and profit-sharing programs.
- Vacation leave and paid holidays.
- Opportunities for growth.
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