AI/ML Engineer

Full-time position; 6-month onboarding period before permanent conversion (Contract-To-Permanent).

First 30 days ONSITE, then becomes HYBRID schedule (3/2).

Compensation $65-75/hour during onboarding period; Conversion salary $115-125K. *Medical benefits are 100% covered at conversion*

Top Skills Looking For

• Python based ML experience
• Experience w/ Machine Learning frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras.
• Experience w/ LLM frameworks (LangChain, Ollama, vector DBs, RAG pipelines)

Duties & Responsibilities

• Develop, train, and optimize machine learning models using frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras
• Integrate artificial intelligence (AI) models into existing in-house applications and services running in secure on-prem environments
• Experiment with large language models (LLMs) and agentic coding tools, evaluating their potential for secure, internal automation and analytics tasks
• Perform data preprocessing, feature engineering, and model evaluation using structured and unstructured data from multiple internal systems
• Collaborate with cross-functional teams to ensure all models and data workflows align with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) protection standards
• Work closely with analysts, investigators, and Information Technology (IT) staff to identify opportunities where AI can provide operational value
• Participate in code reviews, testing, and deployment activities within a collaborative team environment
• Continuously learn and prototype emerging AI tools while maintaining strong data governance discipline

Qualifications:

Knowledge & Abilities

• Knowledge of machine learning frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras
• Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks
• Basic understanding of secure coding principles and CJIS data protection requirements
• Ability to work with structured and unstructured datasets from multiple sources such as databases, APIs, logs, and documents
• Ability to analyze complex problems, test possible solutions, and apply practical, innovative approaches
• Ability to prioritize and manage multiple tasks in a fast-paced environment
• Ability to stay curious and continuously learn new AI tools and techniques while maintaining responsible data practices

Skills

• Strong programming skills in Python; having C# skills is a plus
• Skill in writing optimized SQL queries, functions, and stored procedures for SQL Server and PostgreSQL
• Skill in developing and evaluating machine learning models
• Effective communication and interpersonal skills for interacting with users and technical staff

Compensation

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