S
AI Engineer (Remote)
Synectics for Management Decisions Inc
2 hours ago
Full-time
On-site
Washington, District of Columbia, United States
We're looking for an
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. Salary: $140000.00 - $185000.00 per year #J-18808-Ljbffr
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. Salary: $140000.00 - $185000.00 per year #J-18808-Ljbffr