
AI Engineering Intern
Qoria
Colombo
7 applicants
Posted
Jan 9, 2026
Job Type
Full-Time
Work Mode
On-site
Salary
Salary negotiable
Job Description
🏢 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
🚀 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.
🎯 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
🎓 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
✨ Join Qoria and contribute to building safer digital environments for children around the world while growing your career in AI engineering.