GIS Data Architect/Analyst
We are seeking a highly skilled and experienced Geospatial AI Specialist to join our team. The ideal candidate will have a strong background in GIS data modeling, linear referencing systems, and cutting-edge AI technologies, including machine learning, deep learning, and large language models (LLMs). Candidates with experience in ETL processes using FME and scripting/coding for data transformation will be given preference.
Mandatory Expertise and Experience:
< class="" data-start="787" data-end="816">1. GIS Data Modeling</>Geospatial Data Warehousing
Design and maintenance of spatial databases
Knowledge of Linear Referencing Methods (e.g., Route-measure systems)
Experience implementing LRS in enterprise GIS systems
Practical experience with Machine Learning and Deep Learning algorithms
Model training, tuning, and validation on geospatial datasets
Understanding of Generative Pre-training Transformers (GPT)
Experience using or fine-tuning LLMs for NLP tasks related to geospatial or structured data.
Qualifications:
Bachelor s or Master s in GIS, Computer Science, Data Science, Geomatics, or related field
3+ years of experience in relevant domains (can be flexible for strong candidates)
Certifications in GIS, AI, or FME are a plus
We are seeking a highly skilled and experienced Geospatial AI Specialist to join our team. The ideal candidate will have a strong background in GIS data modeling, linear referencing systems, and cutting-edge AI technologies, including machine learning, deep learning, and large language models (LLMs). Candidates with experience in ETL processes using FME and scripting/coding for data transformation will be given preference.
Mandatory Expertise and Experience:
< class="" data-start="787" data-end="816">1. GIS Data Modeling</>Geospatial Data Warehousing
Design and maintenance of spatial databases
Knowledge of Linear Referencing Methods (e.g., Route-measure systems)
Experience implementing LRS in enterprise GIS systems
Practical experience with Machine Learning and Deep Learning algorithms
Model training, tuning, and validation on geospatial datasets
Understanding of Generative Pre-training Transformers (GPT)
Experience using or fine-tuning LLMs for NLP tasks related to geospatial or structured data.
Qualifications:
Bachelor s or Master s in GIS, Computer Science, Data Science, Geomatics, or related field
3+ years of experience in relevant domains (can be flexible for strong candidates)
Certifications in GIS, AI, or FME are a plus