onsite
Machine Learning Engineer Security Clearance - Dark Wolf
ML Engineer
Develop and deploy advanced machine learning models for defense analytics, leveraging Python, deep‑learning frameworks, and cloud infrastructure while ensuring security compliance and operational reliability.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning pipelines for intelligence and defense data sets.
- Develop production‑ready models using TensorFlow, PyTorch, or Scikit‑learn and integrate them into existing analytics platforms.
- Containerize applications with Docker and orchestrate deployments on AWS cloud services.
- Collaborate with data engineers and domain experts to ensure data quality, feature engineering, and model validation.
- Maintain security compliance, perform code reviews, and document model performance for auditability.
Requirements
- Bachelor’s or higher in Computer Science, Electrical Engineering, or related field; active security clearance.
- 3+ years of hands‑on experience building and deploying ML models in Python.
- Proficiency with deep‑learning frameworks such as TensorFlow or PyTorch and familiarity with Scikit‑learn.
- Experience with AWS services (SageMaker, EC2, S3) and containerization tools like Docker.
- Strong problem‑solving skills, ability to work independently, and effective communication with cross‑functional teams.
Skills
pythontensorflowpytorchawsdocker