Data Engineering Intern: Build AI Pipelines in Kubernetes

APEX Analytix, LLC; Greensboro (NC); Hybrid; USD 21,000 - 30,000; Full time

Job summary

apexanalytix is seeking a Data Engineering Intern to join our team in Greensboro, NC. You will develop and deploy data applications, build pipelines, and work with Kubernetes to run containerized services.

You’ll collaborate with data scientists to integrate AI features, design scalable architectures, and create UI prototypes with Streamlit to gather user feedback. This role suits students in CS/Data Science who enjoy hands-on coding and clear communication.

Qualifications

• Pursuing a bachelor’s degree or higher in CS, data science, mathematics, statistics, engineering, or related field.
• Strong Python programming for data engineering/science roles.
• Experience with SQL and DBMS.
• Knowledge of LLMs and their applications in AI product development.
• Familiarity with containerization using Docker and Kubernetes.
• Familiarity with NLP, text analysis, and machine learning.

Responsibilities

• Design, develop, and deploy containerized applications to our Kubernetes cluster.
• Ensure scalability, reliability, and performance of deployed applications.
• Work with Large Language Models (LLMs) to develop and integrate AI-powered features into our products.
• Collaborate with data scientists to develop and deploy data pipelines, architectures, and tools.
• Troubleshoot and resolve issues related to data pipelines, architectures, and tools.
• Build UI applications using Streamlit to create product prototypes and gather user feedback.
• Stay up to date with AI, data engineering, and cloud computing trends.

Skills

Python

LLMs

NLP/ML

SQL

Education

Bachelor's degree or higher in CS/Data Science/Engineering or related field

Tools

Docker

Kubernetes

Streamlit

Job description

apexanalytix is seeking a Data Engineering Intern to join our team in Greensboro, NC. You will develop and deploy data applications, build pipelines, and work with Kubernetes to run containerized services.

You’ll collaborate with data scientists to integrate AI features, design scalable architectures, and create UI prototypes with Streamlit to gather user feedback. This role suits students in CS/Data Science who enjoy hands-on coding and clear communication.