AI Engineer

Synectics for Management Decisions, Inc.; Washington (District of Columbia); Remote; USD 140,000 - 185,000; Full time

Job summary

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.

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).

Responsibilities

• 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.

Skills

Deep learning frameworks (PyTorch, TF)

Edge-model deployment

MLOps & validation pipelines

Education

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

Tools

YOLO

TensorRT

Job description

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.