Dark Wolf Solutions
Junior AI Software Engineer
About this role
Dark Wolf seeks a Junior AI Software Engineer to build and maintain machine learning pipelines in secure defense environments. You'll develop Python code, containerize applications with Docker, and collaborate with senior engineers on data processing workflows in an Agile setting.
What you'll do
- Build and maintain scalable ML data ingestion pipelines
- Develop and script code using Python and Bash
- Containerize application modules with Docker for deployment
- Execute unit testing and automated security scanning to ensure code compliance
- Participate in Agile ceremonies including code reviews and backlog refinement
What they're looking for
- Python programming
- Docker containerization
- PyTorch or TensorFlow frameworks
- Machine learning concepts (supervised/unsupervised learning, feature engineering)
- Bash scripting
- AWS or Azure cloud platforms
- Security scanning tools (SonarQube, SAST)
- Agile/Scrum methodologies
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Dark Wolf Solutions
Dark Wolf Solutions builds DevSecOps platforms, integration systems, and data analytics solutions for defense and intelligence customers, with a focus on DoD and Space Force operations. The company is hiring DevOps engineers, full-stack software engineers, systems engineers, and data engineers to support cloud infrastructure, platform development, radar systems, and mission-critical defense applications.
View all jobs at Dark Wolf SolutionsLikely interview questions
- Walk us through a machine learning project where you built a data pipeline—what challenges did you face and how did you solve them?
- Describe your experience with Docker. Have you containerized an application, and what was your approach to ensuring it ran reliably in different environments?