AI Specialist

Overview

Designs, develops, and deploys artificial intelligence and machine learning solutions to enhance business processes, improve decision-making, and drive innovation. Collaborates with cross-functional teams to identify use cases, gather requirements, and implement AI-powered applications. Responsible for data preprocessing, model selection, training, validation, and deployment. Stays up-to-date with the latest AI research and industry trends to ensure the organization remains at the forefront of AI adoption.

• Designs, develops, and deploys AI/ML solutions to enhance business processes, improve decision-making, and drive innovation.
• Collaborates with cross-functional teams to identify use cases, gather requirements, and implement AI-powered applications.
• Responsible for data preprocessing, model selection, training, validation, and deployment.
• Stay up-to-date with the latest AI research and industry trends to ensure the organization remains at the forefront of AI adoption.
• The consultant should be able to create a solution that will enable law enforcement personnel and authorized users to query CLEMIS data using everyday language instead of complex SQL queries or traditional search interfaces.
• Experience with Public Safety applications like CAD, RMS and FRMS; should be able to fully understand the different datasets and their relationships.
• Initially we would expect the search to use current CLEMIS  search datasets:
  People (including aliases), Identifiers, Incidents/Offenses.
• The future plan is to 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 Pine Cone).
• 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.

Python
, R,
Tensor Flow
, Py Torch ,
Keras
, Scikit-learn
, Apache Spark
, Databricks
, Jupyter Notebooks
, AWS (Sage Maker, EC2, S3),
Azure (Machine Learning Studio, Databricks),
SQL
, No

SQL databases, data visualization tools (
Tableau
, PowerBI
)

• Experience with AI/ML design, development, and deployment.
• 2-3+ years with Public Safety applications (CAD, RMS, FRMS); strong understanding of datasets and relationships.
• Ability to extract data from on-premise databases to AWS cloud and implement data masking for CJIS/PII as needed.
• Familiarity with vector databases and RAG concepts (preferred).
• Experience with AWS Bedrock, Claude, AWS Titan/Nova or similar models is a plus.
• Strong collaboration and communication skills to work with cross-functional teams.