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 considerations
Requirements:
• 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 clearance
Benefits:
• Competitive compensation
• Opportunities for bonuses
• Employer paid health care
• Training and development funds
• 401k match
• Reasonable accommodations for applicants and employees with disabilities
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