AI / ML Engineering Intern

Company Description

Aurora Financials is an award-winning Audit, Accounting and Consulting practice dedicated to helping clients grow, innovate, and transform their businesses digitally.

Role Description

This remote role is for an AI/ML Engineering Intern. The intern will assist with the development and implementation of machine learning models, analyse large datasets to extract meaningful insights, and contribute to AI-driven solutions.

Responsibilities include collaborating with team members on AI projects, optimising algorithms, and presenting findings to support data-driven decision-making. The position provides an excellent opportunity to work hands-on with cutting-edge technologies in a supportive and innovative environment.

This internship is for someone innovative who wants to build, not just study.

Were not looking for someone who knows all the models.

We want someone who:

• can turn prototypes into production improvements,
• discovers new and different approaches,
• tries unusual approaches quickly,
• designs clean experiments,
• learns fast and adapts, and
• has a growth mindset.

Qualifications and Experience

• Strong knowledge of programming languages such as Python, R, or JavaScript, and familiarity with frameworks like TensorFlow or PyTorch.
• Experience in Machine Learning and Artificial Intelligence, including knowledge of supervised and unsupervised learning algorithms.
• Skills in data analysis, data wrangling, and working with tools like Pandas, NumPy, or similar.
• Familiarity with cloud-based platforms such as AWS, Google Cloud, or Azure.

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• Problem-solving, critical-thinking, and the ability to communicate technical concepts clearly to a non-technical audience.
• Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent experience).
• Preferred: Understanding of financial systems, algorithms, or related industries.

How to apply

Send us:

1. Your CV, LinkedIn profile, and GitHub (portfolio is required)
2. A short note in your application answering: Whats the most innovative thing youve built and what did you learn
3. One link to a project you shipped (can be small)