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 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