Note: The job is a remote job and is open to candidates in USA. Synectics for Management Decisions, Inc. is hiring an AI Engineer to support a government agency in deploying machine learning and computer vision capabilities for unmanned systems and automated threat detection. The role focuses on developing real-time detection models, deploying them to edge hardware, and maintaining data annotation, MLOps, and validation pipelines.
Responsibilities
- Develop, train, and fine-tune real-time computer vision algorithms to automate target detection from unmanned surface and aerial sensor feeds
- Deploy edge-optimized ML models capable of low-bandwidth inference aboard the client's aviation assets
- Construct robust data annotation, MLOps orchestration, and ongoing validation pipelines to prevent drift
Skills
- 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)
- Must be clearance eligible
- U.S. citizenship to work on the program
- Candidates must be authorized to work in the United States
Benefits
- Remote position; staff may be required to report onsite periodically based on client and business requirements.
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