AI / Machine Learning Consultant

Maddisoft
Pontiac, MI

Maddisoft has the following immediate opportunity, let us know if you or someone you know would be interested. Send in your resume ASAP. - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Send in resume along with LinkedIn profile without which applications will not be considered. Call us NOW! ***Visa sponsorship is available for this position.

Job Title: AI / Machine Learning Consultant
Location: Pontiac, MI (Hybrid)

Job Description

The AI / Machine Learning Consultant designs, develops, and deploys artificial intelligence and machine learning solutions to enhance business processes, improve decision-making, and support innovation. This role works closely with cross-functional teams to identify use cases, gather requirements, and implement AI-powered applications, with a strong focus on public safety and law enforcement data systems.

Key Responsibilities

  • Design, develop, train, validate, and deploy AI/ML solutions to support County and law enforcement operations.
  • Build a solution that allows authorized users to query CLEMIS data using natural, everyday language instead of complex SQL queries or traditional search interfaces.
  • Work with public safety systems such as Computer Aided Dispatch (CAD), Records Management Systems (RMS), and Field Records Management Systems (FRMS).
  • Analyze and understand public safety datasets and their relationships.
  • Support initial AI-powered search across current CLEMIS datasets, including:
    • People (including aliases)
    • Identifiers
    • Incidents and offenses
  • Plan and support future use of RMS data for predictive analytics and advanced insights.
  • Extract data from on-premises Oracle and SQL Server databases into the AWS Cloud.
  • Transform, cleanse, and mask sensitive data to ensure compliance with CJIS, PII, and other security standards.
  • Store data in optimized formats for AI/ML workloads, including vector databases (e.g., Pinecone).
  • Implement Retrieval-Augmented Generation (RAG) capabilities using AWS Bedrock.
  • Utilize industry-standard AI models such as Claude or AWS Titan/Nova.
  • Ensure the entire AI solution is securely hosted and maintained within the AWS Cloud.
  • Stay current with emerging AI technologies, tools, and industry best practices.

Technical Environment

  • Programming & ML: Python, R, TensorFlow, PyTorch, Keras, Scikit-learn
  • Data & Analytics: Apache Spark, Databricks, Jupyter Notebooks
  • Cloud Platforms: AWS (SageMaker, EC2, S3, Bedrock), Azure (Machine Learning Studio, Databricks)
  • Databases: Oracle, SQL Server, SQL, NoSQL, Vector Databases (Pinecone)
  • Visualization & Reporting: Tableau, Power BI
Posted 2026-01-20

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