Applied Machine Learning Engineer

Take models from notebooks to production systems that serve real operational workflows. 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. #J-18808-Ljbffr ANAUTICS INC