Engineering Intern

VusionGroup SA•Irving, TX
•Hybrid

About The Position

The Engineering & Technology Internship Program is designed for individuals ready to develop the future of retail. As a leader in IoT and data technologies for commerce, the company's mission is to help retailers and brands use digitalization to become more efficient, more intelligent, and more sustainable. VusionGroup is a fast-growing, fast-paced retail tech company that believes in building the largest retail IoT platform in the world through agile thinking, tech making, and change agency.

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)
  • REST APIs

Nice To Haves

  • Docker or Kubernetes
  • 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
  • Eligibility for benefits starting day one
  • Retirement savings plans
  • Family-First Support
  • Hybrid work: two days working from home, three days in the office, plus the freedom to work anywhere for up to two weeks a year.
  • Time off to volunteer and give back to your community.
  • E-learning opportunities and workshops
  • Global mobility potential
  • Commute benefits: up to $100/month per employee for commuting expenses.
  • Philanthropy: Company matches employee donations up to $500 per year.
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