Engineering Intern

Vusion • Dallas, TX

13d • Hybrid

About The Position

Engineering & Technology Internship Program. Are you ready to develop the future of retail? As the world’s leader in IoT and data technologies for commerce, our mission is to help retailers and brands use digitalization to become more efficient, more intelligent, and more sustainable—and in doing so, enable more positive commerce. VusionGroup is a fast-growing, fast-paced retail tech company. We believe that by thinking big and working together as one team—agile thinkers, tech makers, and change agents—we can build the largest retail IoT platform in the world. We build. We create impact. As an Engineering & Technology Intern, you will make a positive impact by being responsible for:
Data Science: Analyze large datasets to identify trends, patterns, and business insights. Develop dashboards, reports, and visualizations to communicate findings. Build and evaluate predictive models and machine learning algorithms. Support data preparation, feature engineering, and model validation. Collaborate with engineering and product teams to solve business problems using data.
Cloud Engineering: Support cloud infrastructure running on Microsoft Azure. Assist with infrastructure automation using Infrastructure-as-Code tools. Monitor cloud environments and help improve reliability and performance. Participate in troubleshooting production issues and implementing operational improvements. Contribute to CI/CD pipelines, automation, and cloud security best practices.
Computer Vision & Artificial Intelligence: Support the development of AI and computer vision solutions for Retail IoT products. Assist with image processing, model training, testing, and validation. Work with large image and sensor datasets. Evaluate model performance and recommend improvements. Collaborate with software, hardware, and data engineering teams on end-to-end AI solutions.

Requirements

• Pursuing a Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Python
• SQL
• Java or C++
• Git
• Microsoft Azure or other cloud platforms
• Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Data visualization tools
• Computer Vision libraries (OpenCV)
• Docker or Kubernetes (preferred)
• REST APIs

Nice To Haves

• Experience with cloud computing platforms such as Azure stack (Kusto/dashboards etc) for data processing and storage.

Responsibilities

• Analyze large datasets to identify trends, patterns, and business insights.
• Develop dashboards, reports, and visualizations to communicate findings.
• Build and evaluate predictive models and machine learning algorithms.
• Support data preparation, feature engineering, and model validation.
• Collaborate with engineering and product teams to solve business problems using data.
• Support cloud infrastructure running on Microsoft Azure.
• Assist with infrastructure automation using Infrastructure-as-Code tools.
• Monitor cloud environments and help improve reliability and performance.
• Participate in troubleshooting production issues and implementing operational improvements.
• Contribute to CI/CD pipelines, automation, and cloud security best practices.
• Support the development of AI and computer vision solutions for Retail IoT products.
• Assist with image processing, model training, testing, and validation.
• Work with large image and sensor datasets.
• Evaluate model performance and recommend improvements.
• Collaborate with software, hardware, and data engineering teams on end-to-end AI solutions.

Benefits

• Generous paid time off (PTO ): 35 days PTO to enable work/life integration and promotes a culture of trust.
• Eligibility for benefits starting day one, plus retirement savings plans.
• Commute benefits : up to $100/month per employee for commuting expenses.
• Time off to volunteer and give back to your community.
• E-learning opportunities and workshops, and global mobility potential.
• Company matches employee donations up to $500 per year for causes close to your heart.

What This Job Offers

• Career Level: Intern