This role supports the Department of War enterprise data program by delivering mission-critical capabilities that enable faster decision-making using trusted data at scale
Job Summary
This role supports the Department of War enterprise data program by delivering mission-critical capabilities that enable faster decision-making using trusted data at scale.
The successful candidate will design scalable machine learning pipelines for model deployment, validation, monitoring, and lifecycle management while ensuring strict cybersecurity compliance.
Leidos seeks disruptors who are motivated by national security outcomes and comfortable operating in complex stakeholder environments to build deep domain expertise.
Matching Summary
This role supports the Department of War enterprise data program by delivering mission-critical capabilities that enable faster decision-making using trusted data at scale.
Salary
Base: $107,900.00 - $195,050.00; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
8 years of MLOps experience
Top Secret clearance required
Python Java or C++ proficiency
Docker and Kubernetes orchestration
AWS Azure or Google Cloud platforms
CI/CD pipeline implementation
System Engineering Plan preparation
Nice-to-have
Master's degree in Computer Science
TS/SCI with CI Poly clearance
DoD standards and reference designs
DevSecOps practices and tools
Site reliability engineering principles
TensorFlow PyTorch or scikit-learn frameworks
Strong communication and documentation skills
Key Requirements
Bachelor's degree in Computer Science or Engineering
Minimum 8 years of MLOps experience
Top Secret clearance required to start
Proficiency in Python Java or C++
Experience with containerization tools like Docker
Knowledge of cloud infrastructure on AWS Azure or GCP