remote
AI Systems Engineer - Leidos
Systems Engineer
AI Systems Engineer responsible for designing, developing, and deploying AI solutions in cyber and analytics environments, leveraging Python, machine learning, and advanced security techniques to protect critical intelligence assets.
About the role
Key Responsibilities
- Design and implement AI/ML models for cyber threat detection and signal intelligence analysis.
- Integrate AI solutions with existing security and network operations platforms.
- Collaborate with cross‑functional teams to define data pipelines and feature engineering workflows.
- Ensure compliance with cryptographic key management and secure coding standards.
- Perform performance tuning, model validation, and continuous improvement of AI systems.
Requirements
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit‑learn).
- Strong background in security engineering, network operations, and cryptographic key management.
- Experience with signal intelligence or related data analysis is a plus.
- Excellent problem‑solving skills and ability to work in a fast‑paced, mission‑critical environment.
Skills
pythonmachine learning