MAG Aerospace
Artificial Intelligence / Machine Learning Data Engineer
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Job Description
Position Summary
MAG Aerospace is staffing for a Artificial Intelligence / Machine Learning Data Engineer. This position will lead the development of intelligent systems that transform multi-modal sensor data into actionable intelligence for tactical operations. You'll leverage COTS, FOSS/OSS, and custom development to build or integrate everything from edge computer vision to conversational AI assistants, while managing the data pipelines that feed these systems in the most challenging environments. While you'll have a core expertise in either data engineering or model development, you have a passion for mastering the full stack of AI systems.
US Citizens Only
Former US Defense Contractor / US Gov / US Military Experience Only
This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested
We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in:
Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC Essential Duties and Responsibilities: Duties include, but not limited to:
Primary Responsibilities
- Develop and optimize data-centric AI solutions such as computer vision pipelines for object detection, tracking, and classification
- Implement advanced AI capabilities including RAG systems, agentic workflows, and fine-tuned LLMs
- Design and deploy edge-optimized models using TensorRT, ONNX, and quantization techniques
- Build data engineering pipelines for ETL, feature engineering, and model training
- Create analytics dashboards and business intelligence solutions for operational insights
- Implement multi-modal sensor fusion algorithms (visual, thermal, acoustic, RF)
- Design and maintain data lakes, warehouses, and real-time streaming architectures
- Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.)
- Establish and enforce data quality stand...
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