Description
Robert Half has a new opening for an AI/ML Engineer with a reputable client here in Tampa.
This position is full-time hours; HYBRID schedule out of their Tampa office.
Compensation is in the $100-125K+ range depending on experience.
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)
Summary
Design, build, and support custom applications and data integrations to enhance agency operations, with a focus on functionality, performance, and secure handling of sensitive information.
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
Requirements
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
Technology Doesn't Change the World, People Do.®
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