Remote AI/ML Data Engineer — Edge & LLM Systems

Wiraa

United States

Híbrido

USD 140.000 - 210.000

Jornada completa

hace 14 horas
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Ventajas ofrecidas por este puesto de trabajo

Meaningful national security projects
Elite team with immediate impact
Cutting-edge hardware
Professional development support
Flexible work arrangements

Descripción de la vacante

MAG Aerospace is seeking an Artificial Intelligence / Machine Learning Data Engineer to lead the development of intelligent systems for processing complex sensor data into actionable insights.

This hybrid role offers remote work with occasional on-site presence at our offices in Fairfax, VA and other US locations. The ideal candidate has strong data engineering and model development experience and is US citizenship eligible for security clearances.

Formación

  • 5+ years of experience in ML, AI, and data engineering.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).
  • Experience with transformers, diffusion models, and neural ODEs.
  • Hands-on with LLM deployment and optimization (vLLM, TGI, llama.cpp).
  • Strong data engineering skills with Spark, Airflow, and dbt.
  • Experience with SQL/NoSQL databases at scale; vector DBs like Pinecone/Weaviate/pgvector.
  • CV libs: OpenCV, PIL; familiar with edge devices and MLOps.

Responsabilidades

  • Develop and optimize data-centric AI solutions including computer vision pipelines for object detection, tracking, and classification.
  • Implement retrieval-augmented generation (RAG) systems and agentic workflows.
  • Design and deploy edge-optimized AI models using TensorRT, ONNX, and quantization techniques.
  • Build and maintain ETL, feature engineering, and model training pipelines.
  • Create dashboards with BI tools to provide operational insights.
  • Implement multi-modal sensor fusion algorithms across visual, thermal, acoustic, and RF data.
  • Develop data lakes/warehouses and real-time streaming architectures.
  • Develop conversational AI interfaces using open-source LLMs like Llama and Mistral.
  • Establish data quality standards and governance; validate models and tests.

Conocimientos

Python
PyTorch
TensorFlow
JAX
LLM deployment
Spark
Airflow
dbt
SQL
NoSQL
Pinecone
Weaviate
pgvector
OpenCV
PIL
MLOps
US citizenship
Security clearance

Educación

Bachelor's degree in CS/EE
Master's degree preferred

Herramientas

TensorRT
ONNX
CUDA
LangChain
AutoGPT
CrewAI
Tableau
PowerBI
Grafana
MLflow
Kubeflow
Weights & Biases

Descripción del empleo

MAG Aerospace is seeking an Artificial Intelligence / Machine Learning Data Engineer to lead the development of intelligent systems for processing complex sensor data into actionable insights.

This hybrid role offers remote work with occasional on-site presence at our offices in Fairfax, VA and other US locations. The ideal candidate has strong data engineering and model development experience and is US citizenship eligible for security clearances.

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