We're looking for a AI Engineer with experience with large scale enterprise data platforms for a government agency located in the Washington DC metro area. This is a remote position; however, staff may be required to report onsite periodically based on client and business requirements. Position is contingent upon contract award.
Overview: Deploys advanced tactical machine learning models and computer vision assets directly supporting unmanned systems and automated threat detection.
Key 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.
Required Qualifications
- 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).
Additional Requirements
- Must be clearance eligible and able to pass a federal background investigation prior to starting work and maintain eligibility throughout the engagement.
- Salary range for this position is $140,000.00 - $185,000.00
- Work Authorization: Government customer requires U.S. citizenship to work on the program. Candidates must be authorized to work in the United States.
- Synectics is an equal opportunity employer.
Job description provided by Synectics for Management Decisions.
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