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GIS Data Architect/Analyst

  • Full Time, onsite
  • Global Data Solutions Inc.
  • On Site, United States of America
Salary undisclosed

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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

< class="" data-start="894" data-end="938">2. Linear Referencing Systems (LRS)</>
  • Knowledge of Linear Referencing Methods (e.g., Route-measure systems)

  • Experience implementing LRS in enterprise GIS systems

< class="" data-start="1068" data-end="1109">3. Artificial Intelligence Tools</>
  • Practical experience with Machine Learning and Deep Learning algorithms

  • Model training, tuning, and validation on geospatial datasets

< class="" data-start="1257" data-end="1290">4. Large Language Models</>
  • 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

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

< class="" data-start="894" data-end="938">2. Linear Referencing Systems (LRS)</>
  • Knowledge of Linear Referencing Methods (e.g., Route-measure systems)

  • Experience implementing LRS in enterprise GIS systems

< class="" data-start="1068" data-end="1109">3. Artificial Intelligence Tools</>
  • Practical experience with Machine Learning and Deep Learning algorithms

  • Model training, tuning, and validation on geospatial datasets

< class="" data-start="1257" data-end="1290">4. Large Language Models</>
  • 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job