Graduate AI Engineer

SUMMARY:
Are you ready to help build AI capability from the ground up? This is an exciting early-career opportunity for AI Engineers to join a newly established AI transformation initiative. You’ll work across the full AI stack - from infrastructure and data engineering to application development and business implementation - while progressively specialising in areas aligned with your strengths and the organisation’s strategic goals.

POSITION INFO:
Company and Job Description
This is a rare opportunity to be part of a cohort shaping the future of AI within a dynamic and forward-thinking environment. You’ll collaborate with technical experts and business leaders to deliver real-world AI solutions, while gaining exposure to cutting-edge tools, platforms, and methodologies.

Key Responsibilities

• Develop and deploy AI models for tasks like language processing, image recognition, and predictive analytics
• Build AI applications using tools like large language models and machine learning frameworks
• Create and connect APIs to integrate AI models into real-world systems
• Design and manage data pipelines to prepare and process data for AI use
• Ensure data is clean, reliable, and ready for machine learning
• Build systems to process data in real time and monitor performance
• Deploy AI models into production and keep them running smoothly
• Work with tools like Docker and Kubernetes to manage AI infrastructure
• Set up cloud environments and manage computing resources
• Work with teams across the business to solve problems using AI
• Ensure AI systems are ethical, fair, and respect privacy

• Bachelor’s or Honours degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Information Systems, or a related quantitative field
• Graduated within the last 18 months or graduating in 2025
• Strong programming skills in Python or similar languages (Java, JavaScript, Go)
• Solid understanding of data structures, algorithms, and software design principles
• Strong SQL skills and database concepts

• Master’s degree in Computer Science, AI, Data Science, or related field
• Final year project work involving AI, ML, or data engineering
• Research experience in AI/ML domains
• Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost
• Online courses or certifications in AI/ML (Coursera, Fast.ai, DeepLearning.AI, etc.)

• Software Developers (Back-End / Front-End / Full Stack)
• Mobile Developers
• Business & Systems Analysts
• BI & SQL Experts
• UI / UX Professionals
• Data Scientists / Data Analysts
• Big Data Professionals
• Cloud Experts
• Infrastructure Specialists
• DevOps / SecOps Experts
• Cyber Security Specialists
• SEO / Digital Designers