S
AI Engineer
Synectics for Management Decisions Inc
22 minutes ago
Full-time
On-site
Washington, District of Columbia, United States
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. #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. #J-18808-Ljbffr