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Machine Learning Ops Engineer- HSV, ALDavidson Technologies • United States
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Machine Learning Ops Engineer- HSV, AL

Davidson Technologies
  • US
    United States
  • US
    United States
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À propos

Machine Learning Ops Engineer- HSV, AL
Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation. Davidson is seeking a ML Ops Engineer in Huntsville, Alabama to help build and deploy a suite of ML-enabled applications for VLF transmission sites. You will work closely with a Senior Data Scientist and RF engineers to take ML models and analytical outputs and translate them into reliable, real-time, operational code suitable for high-availability systems. The environment includes cloud and edge deployments, strict uptime requirements, and integration with external data sources. Job Responsibilities: Implement and maintain production code that operationalizes ML models and decision logic Translate Python-based or research-grade models into C++, C, or other system-level languages Integrate ML-driven control logic into real-time transmission and monitoring systems Build and maintain data ingestion pipelines, including NOAA API integrations Support deployment of software across cloud and edge environments Ensure software meets performance, reliability, and observability requirements Collaborate closely with Data Scientists to validate model assumptions and runtime behavior Implement logging, metrics, and health monitoring for ML-enabled services Participate in design reviews and contribute to system architecture decisions Debug and resolve issues in live or near-live environments Job Requirements: Bachelor's degree in computer science, Software Engineering, or a related field 3-6 years of professional software engineering experience Strong proficiency in C++ (or similar systems-level language) Experience developing production, real-time, or high-availability systems Working knowledge of the ML development lifecycle and how it intersects with traditional software engineering Must be a U.S. citizen Preferred Qualifications: Background in systems programming, embedded systems, or infrastructure software Exposure to RF systems, signal processing, or physical-domain systems (not required) Exposure to predictive maintenance (e.g., CBM+) Experience supporting mission-critical or regulated systems Clearance: Currently holds an Active DoD Secret Clearance or is able to obtain a Secret Clearance
  • United States

Compétences linguistiques

  • English
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