Machine Learning Ops Engineer- HSV, AL
Davidson Technologies•Huntsville, AL
•Onsite
About The Position
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. This is a Contingent Upon Award position.
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
Nice To Haves
- 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
- Currently holds an Active DoD Secret Clearance or is able to obtain a Secret Clearance
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
