AI Engineer

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

Job summary

Synectics for Management Decisions Inc. in the Washington DC metro area is seeking an AI Engineer to deploy real-time computer vision models for unmanned systems. The role is remote, with possible onsite requirements based on client needs. Clearance eligibility and U.S. citizenship are required for government work.

Salary range is $140,000.00 to $185,000.00 per year. The position is contingent upon contract award and requires security clearance eligibility throughout the engagement.

Qualifications

• Master's or PhD in CS/Data Science with 4+ years focusing on deep learning.
• Proven experience deploying edge-computing models on embedded tactical hardware.
• Experience with defense data fusion suites like Minotaur and 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 for low-bandwidth inference aboard client assets.
• Construct robust data annotation, MLOps orchestration, and drift-prevention pipelines.

Skills

PyTorch

TensorFlow

Edge deployment

Computer vision

MLOps

Data fusion

Education

Master's or PhD in CS/Data Science

Tools

YOLO

TensorRT

Minotaur

TAK

Job description

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