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AI Specialist

Job in Pontiac, Oakland County, Michigan, 48340, USA
Listing for: 3B Staffing
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Data Analyst, Data Scientist
Job Description & How to Apply Below
Need Local

No restrictions on visa

AI Specialist is the title

In person interview however being a government organization it takes a while to get those set up

Location:

onsite in Pontiac, MI

Duration: 6+ mo
  • The 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:
  • 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
    • 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
Experience Level: Senior

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)
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