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Title: Artificial Intelligence Specialist
Duration: 06 months contract
Location: Pontiac, MI- locals preferred always
Description
Able to create a solution that will enable law enforcement personnel and authorized users to query client's data using everyday language instead of complex SQL queries or traditional search interfaces.
Should have experience (at least 2-3 years’ worth) with Public Safety applications like CAD, RMS and FRMS – should be able to fully understand the different datasets and their relationships.
Initially, expected the search to use current client’s search datasets.
Abilities
Use the RMS (Records Management System) data for predictive analysis
Extract data from on premise Oracle/SQL Server DBs to AWS cloud.
Transforms and if needed masks sensitive information (CJIS, PII, etc.)
Stores data in optimized formats for AI/ML workloads (in a Vector DB like PineCone)
Enables advanced RAG capabilities with AWS Bedrock
Use an industry standard AI Model like Claude or AWS Titan/Nova
We expect the entire solution to be hosted in the AWS Cloud
Environment
Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data visualization tools (Tableau, PowerBI)
Duration: 06 months contract
Location: Pontiac, MI- locals preferred always
Description
Able to create a solution that will enable law enforcement personnel and authorized users to query client's data using everyday language instead of complex SQL queries or traditional search interfaces.
Should have experience (at least 2-3 years’ worth) with Public Safety applications like CAD, RMS and FRMS – should be able to fully understand the different datasets and their relationships.
Initially, expected the search to use current client’s search datasets.
Abilities
Use the RMS (Records Management System) data for predictive analysis
Extract data from on premise Oracle/SQL Server DBs to AWS cloud.
Transforms and if needed masks sensitive information (CJIS, PII, etc.)
Stores data in optimized formats for AI/ML workloads (in a Vector DB like PineCone)
Enables advanced RAG capabilities with AWS Bedrock
Use an industry standard AI Model like Claude or AWS Titan/Nova
We expect the entire solution to be hosted in the AWS Cloud
Environment
Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data visualization tools (Tableau, PowerBI)
Key Skills
Ranked by relevance
aws
sql
artificial intelligence
data visualization
machine learning
tensorflow
tableau
pytorch
apache
server
nosql
keras
spark
ai
s3
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- Posted
- Jan 23, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Pontiac
- Company
- Largeton Group
Industries
Information Services
Categories
Engineering
Information Technology
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Software Engineer III, Machine Learning, Research and Products
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