AI Engineering Intern

🏢 Who We Are

Qoria is an ASX-listed global leader in child digital safety technology, headquartered in Perth, Australia, with offices worldwide.

We are a purpose-driven organization operating under:

• Linewize – North America & Asia Pacific
• Smoothwall – United Kingdom
• Qoria – EMEA & Sri Lanka

Our solutions help schools, school districts, and parents to:

• Protect children from harmful online content
• Identify children at risk based on digital behavior
• Ensure safe and focused digital learning environments

📊 Impact at Scale

• 30,000 schools
• 7 million parents
• 25 million children protected
• 180 countries worldwide

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🚀 What’s the Opportunity?

As an AI Engineer Intern, you will support the design, development, and deployment of AI solutions while learning production-grade AI engineering practices.

You’ll collaborate closely with senior AI engineers and data scientists, helping transform data and business requirements into scalable, intelligent solutions—while gaining hands-on exposure to MLOps and cloud-based AI workflows.

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🎯 Key Responsibilities

• Assist in collecting, cleaning, and organizing data from internal and external sources
• Support preparation of reports and visualizations for internal stakeholders
• Contribute to the development and testing of AI/ML models under senior guidance
• Analyze datasets to identify patterns, trends, and correlations
• Translate business requirements into technical tasks for AI projects
• Support data extraction, preprocessing, and feature engineering
• Participate in testing, validation, and troubleshooting of models and pipelines
• Help document AI workflows, data sources, and processes
• Prepare presentations, summaries, and insights for management
• Support ad-hoc AI and data requests and process automation initiatives
• Assist with AI model lifecycle management (MLOps)
  (deployment, monitoring, retraining)
• Support AI workflows and data pipelines using Google Cloud Platform (GCP)
• Work with version control, CI/CD, and containerization
  (Git, Docker)
• Follow and promote AI engineering best practices

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🎓 Qualifications

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in:
  • Computer Science
  • Artificial Intelligence
  • Data Science
  • Software Engineering
  • or a related field
• Strong knowledge of Python and Golang
• Understanding of machine learning concepts, algorithms, and frameworks
  (scikit-learn, TensorFlow, PyTorch)
• Knowledge of data preprocessing, cleaning, and feature engineering
• Exposure to databases and query languages (SQL / NoSQL)
• Familiarity with Git and basic understanding of CI/CD pipelines
• GCP knowledge is a plus
• Strong analytical, problem-solving, and communication skills
• Ability to work collaboratively and take initiative in learning
• Genuine enthusiasm for AI and machine learning, with interest in real-world applications

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✨ Join Qoria and contribute to building safer digital environments for children around the world while growing your career in AI engineering.