Virginia Tech College Fair - Internship
Dark Wolf - Herndon, VA
Hiring: Virginia Tech College Fair - Internship Company: Dark Wolf Location: Herndon, VA Job Posted Time: 2026-09-16 19:21:03 Employment Type: Full-time Target Skills & Keywords : AWS, Agile, Azure, CI/CD, Cloud Native, Data Pipeline, Docker, FedRAMP, Fine-tuning, GCP, IAM, IaC, Java, Kubernetes, LLM, LangChain, Machine Learning, Node.js, Penetration Testing, PyTorch, Python, Risk Management, SQL, TensorFlow, Zero Trust About the job Experience: •Operational familiarity with containerization tools like Docker or Kubernetes. •Knowledge of SQL and NoSQL databases. •Exposure to AI frameworks such as PyTorch, TensorFlow, or LangChain. •Previous project work involving cloud-native architecture. •Are you ready to go beyond the textbook ? Required Skills: •Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js. •Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery. •Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training. •AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning. •Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC). Qualifications: •Current Enrollment: Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or a related technical field at the University of Florida. •Technical Proficiency: Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks). •Problem Solving: Strong analytical skills and a "Go Getter" attitude toward tackling complex technical challenges. •Communication: Ability to clearly communicate technical concepts to both technical and non-technical team members. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!