AI Specialist (Law Enforcement Information Management System, Records Management System, RAG, AWS, Oracle/SQL Server)

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Tellus Solutions
Waterford, MICHIGAN, United States
  • Consulting
  • Applications have closed

Job Description: Responsibilities:

  • 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:

  • 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
  • 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
  • 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

  • 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)
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