We are looking for an Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This is a contract-to-permanent position, offering an exciting opportunity to apply cutting-edge AI technologies to real-world challenges. The ideal candidate will have a strong background in machine learning, data preprocessing, and model development, as well as a keen interest in exploring innovative AI tools and frameworks.<br><br>Responsibilities:<br>• Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI solutions into existing applications and services within secure on-premises environments.<br>• Experiment with large language models (LLMs) and agent-based coding tools to assess their potential for automation and analytics.<br>• Process and analyze structured and unstructured data from various internal systems to enhance model performance.<br>• Collaborate with teams to ensure compliance with Criminal Justice Information Systems and Personally Identifiable Information protection standards.<br>• Work alongside analysts and IT professionals to identify opportunities for AI-driven operational improvements.<br>• Participate in code reviews, testing, and deployment processes to ensure high-quality outcomes.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance principles.<br>• Conduct feature engineering and model evaluations to refine AI solutions.

• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation pipelines, and AI agent frameworks.<br>• Strong programming skills in Python or C#.<br>• Knowledge of secure coding practices and data protection standards.<br>• Ability to work with structured and unstructured datasets from various sources, including databases, APIs, and logs.<br>• Analytical skills to solve complex problems and implement innovative solutions.<br>• Effective communication abilities for collaboration with technical and non-technical stakeholders.<br>• Commitment to continuous learning and responsible data handling practices.

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