Remote AI Engineer — Edge ML for Unmanned Systems

Synectics for Management Decisions Inc; Washington (District of Columbia); A distancia; USD 140.000 - 185.000; Jornada completa

Descripción de la vacante

Synectics for Management Decisions Inc. in the Washington DC area is seeking an AI Engineer to deploy real-time computer vision and tactical ML models for a government program.

The position is remote, with periodic onsite reporting as required, and is contingent on contract award. You will develop, train, and fine-tune edge-optimized models on embedded hardware (YOLO, TensorRT), build robust data annotation and MLOps pipelines, and ensure continuous validation to prevent drift.

Formación

• Master's or PhD in Computer Science, Data Science, or related field with 4+ years focusing on deep learning frameworks (PyTorch, TensorFlow).
• Proven experience deploying edge-computing models (YOLO, TensorRT) onto embedded tactical hardware.
• Experience working alongside defense data fusion suites (e.g., Minotaur, TAK).

Responsabilidades

• Develop, train, and fine-tune real-time computer vision algorithms to automate target detection from unmanned sensor feeds.
• Deploy edge-optimized ML models capable of low-bandwidth inference aboard assets.
• Construct robust data annotation, MLOps orchestration, and validation pipelines to prevent drift.

Conocimientos

Deep learning frameworks (PyTorch, TF)

Edge-model deployment

MLOps & validation pipelines

Educación

Master's or PhD in CS/Data Science or related

Herramientas

YOLO

TensorRT

Descripción del empleo

Synectics for Management Decisions Inc. in the Washington DC area is seeking an AI Engineer to deploy real-time computer vision and tactical ML models for a government program.

The position is remote, with periodic onsite reporting as required, and is contingent on contract award. You will develop, train, and fine-tune edge-optimized models on embedded hardware (YOLO, TensorRT), build robust data annotation and MLOps pipelines, and ensure continuous validation to prevent drift.