About The Position

Analytica is seeking a seasoned and adaptable Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our infrastructure team in supporting an innovative federal mission. In this role, you will provide high-level technical leadership, engineering expertise, and strategic vision to optimize, manage, and secure our enterprise hardware, software, and network ecosystems. Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions.

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.
  • Must have active or ability to obtain IRS MBI clearance.

Nice To Haves

  • IRS, Treasury, fraud analytics, tax administration, or federal AI/ML experience preferred.

Responsibilities

  • 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.

Benefits

  • competitive compensation
  • opportunities for bonuses
  • employer paid health care
  • training and development funds
  • 401k match
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