AI Specialist

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. Required Skills: • 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 • The future plan is to use the RMS (Records Management System) data for predictive analysis 4. 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 9. We expect the entire solution to be hosted in the AWS Cloud. Environment: Python, R, TensorFlow, Py Torch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data visualization tools (Tableau, Power BI)