MAG Aerospace · 13 hours ago
Artificial Intelligence / Machine Learning Data Engineer
Fairfax, VA
Full-time
Hybrid
Senior Level
5+ years expMAG Aerospace is staffing for an Artificial Intelligence / Machine Learning Data Engineer. This role involves leading the development of intelligent systems that transform multi-modal sensor data into actionable intelligence for tactical operations, leveraging various technologies to build or integrate AI solutions.
Aerospace
No H1B
Security Clearance RequiredU.S. Citizen Only
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 standards, validation checks, and governance procedures throughout the data lifecycle
Develop and implement robust testing and validation strategies for AI/ML models, including performance under degraded data conditions, adversarial testing, and operational scenarios
Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick)
Implement hardware acceleration using CUDA and TensorRT
Profile and optimize memory/power consumption for edge devices
Support embedded systems team with AI-specific hardware integration
Design distributed inference systems for degraded network conditions
Qualification
Required
5+ years' experience in machine learning, AI, and data engineering
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX)
Experience with modern AI paradigms (transformers, diffusion models, neural ODEs)
Hands-on experience with LLM deployment and optimization (vLLM, TGI, llama.cpp)
Proficiency with data engineering tools (Apache Spark, Airflow, dbt, etc.)
Experience with both SQL and NoSQL databases at scale
Knowledge of vector databases and embedding systems (Pinecone, Weaviate, pgvector)
Experience with computer vision libraries (OpenCV, PIL) and video processing
Understanding of MLOps practices and model lifecycle management
Bachelor's degree in CS, EE, or related field
Must be eligible for Secret security clearance
Must be a US citizen
Preferred
Experience with military/defense AI applications
Knowledge of agentic AI frameworks (LangChain, AutoGPT, CrewAI)
Familiarity with federated learning and edge-cloud hybrid architectures
Experience with business intelligence tools (Tableau, PowerBI, Grafana)
Knowledge of time-series analysis and anomaly detection
Experience with knowledge graphs and semantic reasoning
Understanding of explainable AI and model interpretability
Experience with MLOps platforms and tools (e.g., MLflow, Kubeflow, Weights & Biases)
Published research or patents in relevant areas
Benefits
Professional development and conference attendance support
Flexible work arrangements with occasional field exercises
Company
MAG Aerospace
MAG Aerospace provides airborne intelligence, surveillance, and reconnaissance services.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
New Mountain Capital
2018-06-07Private Equity
2013-09-23Private Equity
Leadership Team
Matt Twiggs
VP, Engineering & Technology
Recent News
2025-12-10
Washington Technology
2025-09-09
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2025-08-20
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