Graduate AI Engineer

About the Role

• Entry-level role for recent Artificial Intelligence (AI) graduates.
• Ideal for those passionate about machine learning, generative AI, data, automation, and developing intelligent applications.
• No prior professional experience is required.
• Training and mentorship will be provided.

Key Responsibilities

• Assist in developing, testing, and implementing AI and machine learning solutions.
• Prepare, clean, and process datasets for AI and machine learning applications.
• Assist with training, evaluating, and improving machine learning models.
• Conduct exploratory data analysis to identify patterns and relationships.
• Support the development and integration of AI-powered applications and APIs.
• Assist with Natural Language Processing (NLP), computer vision, or predictive modelling projects.
• Experiment with Generative AI and Large Language Model (LLM) technologies.
• Evaluate model performance and document results, assumptions, and methodologies.
• Collaborate with software engineers, data scientists, and technical teams.
• Assist with deploying and monitoring AI solutions in development or cloud environments.
• Conduct research into emerging AI tools, frameworks, and techniques.
• Follow responsible AI, data privacy, security, and development best practices.

Requirements & Tech Stack

• Basic understanding of Artificial Intelligence and Machine Learning concepts.
• Good knowledge of programming fundamentals.
• Basic proficiency in Python.
• Understanding of mathematics and statistics relevant to machine learning.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn emerging AI technologies.
• Familiarity with Python, NumPy, Pandas, and Scikit-learn is preferred.
• Basic understanding of supervised and unsupervised learning is preferred.
• Familiarity with TensorFlow or PyTorch is an advantage.
• Basic knowledge of NLP, Computer Vision, or Generative AI is preferred.
• Familiarity with Large Language Models (LLMs) and AI APIs is preferred.
• Basic understanding of SQL and databases is preferred.
• Familiarity with Git and version control is preferred.
• Knowledge of AWS, Microsoft Azure, or Google Cloud Platform (GCP) is beneficial.

Qualifications

• Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Computer Engineering, or a related discipline.

What You'll Gain

• Structured graduate training and technical mentorship.
• Hands-on experience working on real-world AI and Machine Learning projects.
• Exposure to Generative AI, LLMs, predictive modelling, NLP, computer vision, and automation.
• Experience with modern AI frameworks, development tools, and cloud technologies.
• Career progression opportunities in AI Engineering, Machine Learning Engineering, Data Science, Generative AI, MLOps, NLP, Computer Vision, and AI Solutions Development.
• Continuous learning and professional development opportunities.

Ideal Candidate

• Recently completed a degree in Artificial Intelligence or a related technical discipline.
• Genuinely interested in AI and emerging technologies.
• Enjoys solving complex problems using data, mathematics, and programming.
• Has strong analytical and logical thinking skills.
• Is curious, proactive, and willing to experiment and learn.
• Wants to build a long-term career in Artificial Intelligence and Machine Learning.