AI Specialist

Overview

AI Specialist

• 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.
• Specifically:
  • 1. 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
  • 2. The consultant 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
  • 3. Initially we would expect the search to use current CLEMIS search datasets
    • 1. People (including aliases)
    • 2. Identifiers
    • 3. Incidents/Offenses
    • 4. The future plan is to use the RMS (Records Management System) data for predictive analysis
    • 5. Extract data from on premise Oracle/SQL Server DBs to AWS cloud
    • 6. Transforms and if needed masks sensitive information (CJIS, PII, etc.)
    • 7. Stores data in optimized formats for AI/ML workloads (in a Vector DB like Pine Cone)
    • 8. Enables advanced RAG capabilities with AWS Bedrock
    • 9. Use an industry standard AI Model like Claude or AWS Titan/Nova
    • 10. We expect the entire solution to be hosted in the AWS Cloud

• Number of Resources Requested: 1
• Maximum Number of Candidates: 2
• Experience Level: Senior
• Start Date: 02/09/2026
• Duration: 6 month
• Environment: Python, R, Tensor Flow, PyTorch, 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, Power
  
  BI)