Yellow Duck Technologies, Inc.
Senior AI/ML Software Engineer (TS/SCI with Polygraph)
Skills
1 month ago
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Important information
Contract type:
Temporary
Location:
Annapolis, MD, USA
Work mode:
Onsite
Published on:
28 September 2026
What they need
Yellow Duck Technologies is seeking a Senior Software Engineer to join our artificial intelligence and machine learning (AI/ML) team.
Responsibilities:
- Develop, deploy, and maintain AI/ML software solutions.
- Support the training, hosting, and optimization of LLMs.
- Troubleshoot performance issues and improve system reliability.
- Collaborate with technical teams to integrate AI/ML capabilities into existing environments.
- Apply software engineering best practices throughout the development lifecycle.
Requirements:
- Must have an active TS/SCI clearance with polygraph.
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. An additional 4 years of experience may substitute for a Bachelor’s degree.
- 12+ years of experience in software engineering, with a focus on machine learning or natural language processing.
- Degree in Computer Science, Artificial Intelligence, or a related field.
- Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
- Proficiency in programming languages such as Python, C++, or Java.
- Solid understanding of LLM architectures, training techniques, and evaluation methodologies.
- Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services.
- Knowledge of software engineering best practices, including version control, testing, and continuous integration/deployment.
- Excellent problem-solving and debugging skills.
- Strong communication and collaboration abilities to work effectively with cross-functional teams.
Yellow Duck is hiring cleared technical professionals at all skill levels. If you possess an active TS/SCI clearance with polygraph, please submit your resume for a friendly follow-up and quick job-matching response!
Yellow Duck Technologies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity and expression, national origin, disability, genetic information, veteran status, or any other protected characteristic or class.
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