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Hybrid Data Engineer, Artificial Intelligence / Machine Learning

at MAG Aerospace
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Posted last month

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About the role

  • Lead development of intelligent systems transforming multi-modal sensor data into actionable intelligence
  • Develop and optimize data-centric AI solutions (object detection, tracking, 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 data quality standards, validation checks, and governance procedures
  • Develop testing and validation strategies for AI/ML models including adversarial and degraded-data scenarios
  • Optimize AI workloads for embedded platforms and support hardware integration for edge deployments

Requirements

  • 5+ years’ experience in machine learning, AI, and data engineering
  • Strong proficiency in Python
  • Proficiency with 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)
  • Experience with SQL and NoSQL databases at scale
  • Experience with vector databases and embedding systems (Pinecone, Weaviate, pgvector)
  • Experience with computer vision libraries (OpenCV, PIL) and video processing
  • Knowledge of MLOps practices and model lifecycle management
  • Experience optimizing models for edge (TensorRT, ONNX, quantization) and CUDA
  • Familiarity with agentic AI frameworks (LangChain, AutoGPT, CrewAI) [preferred]
  • Familiarity with federated learning and edge-cloud hybrid architectures [preferred]
  • Experience with BI tools (Tableau, PowerBI, Grafana) [preferred]
  • Knowledge of time-series analysis, anomaly detection, knowledge graphs, XAI [preferred]
  • Bachelor's degree in CS, EE, or related field (Master's preferred)
  • Must be a U.S. citizen and eligible for Secret security clearance

Benefits

  • Work on meaningful problems that directly impact national security
  • Small, elite team where your contributions matter immediately
  • Access to cutting-edge hardware and technologies
  • Rapid prototyping environment - see your ideas deployed in weeks
  • Direct interaction with end users and field deployments
  • Professional development and conference attendance support
  • Flexible work arrangements with occasional field exercises
  • Opportunity to shape the future of tactical edge computing

Job title

Data Engineer, Artificial Intelligence / Machine Learning

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AirflowApacheC++CloudETLGrafanaNoSQLPythonPyTorchSparkSQLTableauTensorflow

Location requirements

HybridFairfaxUnited States

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