Artificial Intelligence/Machine Learning Engineer

Job Description: Develop, train, evaluate, deploy, and monitor machine learning and AI models for mission and business use cases Build and support MLOps pipelines for model versioning, deployment, monitoring, and governance Collaborate with data engineers, application developers, analysts, and domain SMEs to operationalize AI capabilities Implement NLP, LLM, RAG, generative AI, predictive analytics, and automation solutions where appropriate Optimize model performance, scalability, explainability, security, and reliability Support AI solution integration into APIs, applications, reporting platforms, and operational workflows Document model development, testing, deployment, monitoring, and responsible AI considerationsRequirements: 3+ years of AI/ML engineering, data science, or applied machine learning experience Experience with Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn Experience with MLOps tools, cloud AI services, model deployment, and production monitoring Knowledge of NLP, LLMs, RAG, generative AI, predictive modeling, and model evaluation methods Experience deploying AI/ML capabilities within secure cloud or enterprise environments Strong analytical, documentation, communication, and collaboration skills IRS, Treasury, fraud analytics, tax administration, or federal AI/ML experience preferred Must have active or ability to obtain IRS MBI clearanceBenefits: Competitive compensation Opportunities for bonuses Employer paid health care Training and development funds 401k match Reasonable accommodations for applicants and employees with disabilities