AI Engineering
Applied Machine Learning Engineer
Take models from notebooks to production systems that serve real operational workflows.
Oklahoma City, OK / HybridFull-timeMid-SeniorU.S. Citizen / TS capable
Impact
- Convert data science ideas into reliable model services.
- Build feedback loops that improve model performance over time.
- Help teams use AI where it creates measurable operational value.
What you'll do
- Implement training, inference, feature, evaluation, and monitoring pipelines.
- Work with data scientists to harden models for production use.
- Build APIs, batch jobs, and workflows around ML capabilities.
- Improve model reliability, latency, cost, and explainability.
What we're looking for
- 4+ years of ML engineering or applied machine learning experience.
- Strong Python and production software fundamentals.
- Experience deploying models or ML-powered services.
- U.S. Citizenship is required.
- Must be capable of obtaining and maintaining a Top Secret security clearance.
- Comfort working with ambiguous mission, data, and engineering problems.
- Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
- AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
- AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
- Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
Hiring note
Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.