MAG Aerospace is looking to develop intelligent systems that transform multi-modal sensor data into actionable intelligence for tactical operations by leveraging AI/ML.
Requirements
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)
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
Design and maintain data lakes, warehouses, and real-time streaming architectures
Other
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
Must be eligible for Secret security clearance
Must be a US citizen
You can build anything from a computer vision pipeline to a conversational AI assistant
