Job Openings AI Specialist

About the job AI Specialist

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 PineCone) 
    • 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, 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)

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