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

< 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

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