Junior AI Software Engineer

<p><strong>Dark Wolf</strong>&nbsp;constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.<br><br><strong>Dark Wolf</strong>&nbsp;is seeking a <strong>Junior / Entry-Level AI Software Engineer </strong>to support the construction, testing, and deployment of artificial intelligence and machine learning pipelines in secure, high-assurance environments. In this role, you will work alongside senior technical leads to maintain data processing workflows, implement foundational software code, and assist in containerizing software components</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Assist with building and maintaining scalable ML data ingestion pipelines.</li> <li>Support code development and scripting using Python and Bash.</li> <li>Containerize application modules using Docker for deployment.</li> <li>Perform regular unit testing and execute automated security scanning tools to ensure code health and compliance.</li> <li>Participate in daily Agile activities, code reviews, and backlog refinement sessions.</li> </ul> <p><strong>Required Qualifications:</strong></p> <ul> <li><strong>Clearance:</strong> Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.</li> <li><strong>Education:</strong> Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).</li> <li><strong>Experience:</strong> 0-4+ years of software engineering experience.</li> </ul> <p><strong>Technical Competencies:</strong></p> <ul> <li><strong>AI Frameworks:</strong> Basic familiarity with PyTorch or TensorFlow.</li> <li><strong>AI Models:</strong> Basic understanding of model evaluation techniques and foundational prompt engineering.</li> <li><strong>Machine Learning:</strong> Core understanding of supervised/unsupervised learning concepts and feature engineering.</li> <li><strong>Programming &amp; Scripting:</strong> Practical competency in Python and fundamental scripting tools.</li> <li><strong>Containerization:</strong> Experience building and running basic Docker images.</li> <li><strong>Agile Frameworks:</strong> Working knowledge of Agile, Scrum, or Kanban concepts.</li> <li><strong>Multi-Cloud Architecture:</strong> Basic familiarity with cloud platforms such as AWS or Azure.</li> <li>&