AI Internship - December 2025

About Mantel Group:

Mantel Group is an Australian-owned technology consulting business with capabilities across Cloud, Digital, Data, Delivery & Security. Since our inception in November 2017, we have experienced remarkable growth across Australia & New Zealand and are honoured to be recognised as a Great Place to Work for 5 years in a row!

We hire smart and talented people and get out of their way. As a principle-based organisation, we have a flat structure with no hierarchy. By focusing on our five principles and not getting caught up in red tape, we trust you to get the job done!

Working in data at Mantel Group means there are opportunities to align to a particular cloud platform or remain cloud agnostic. Our teams are made up of awesome people who specialise in numerous areas of data, so there are endless opportunities for you, including data engineering, machine learning, data analytics and data science.

Location: Melbourne (Hybrid)

Timeframe: December 1st, 2025 to February 15th, 2026. Please note that Mantel Group will have a shutdown period over the Christmas holidays.

The Opportunity:

Join our AI & ML Engineering team as an Intern within Mantel Group’s AI Capability focused on innovative internal initiatives. In this role, you’ll work on innovative projects designed to explore cutting-edge AI/ML solutions. Although you may not have extensive commercial technology experience, any academic research experience or other AI successes will be your strongest assets. This internship is a unique opportunity to work alongside our leaders in the AI/ML space, contribute to internal projects, and gain valuable mentorship that can open up potential career pathways. This is a paid internship position.

Responsibilities:

• Collaborate with the AI & ML Engineering team to design and execute an internal project focused on developing an impactful AI solution accelerator for our clients

• Develop prototypes and experiment with advanced machine learning algorithms, including Generative AI

• Document approach and solution to prepare our senior leaders to demo to clients

• Engage with senior team members for technical guidance and mentorship, participating in regular project discussions and reviews

• Support the team with ad hoc tasks that advance our understanding of emerging AI/ML methods and tools

Who You Are:

• A current PhD, postgraduate, or final-year undergraduate student based in Melbourne with a strong academic record and notable research or other achievements

• You have a proven track record using AI & ML — whether through research, work experience, or your own personal-projects

• Proficient in programming with Python (or a comparable language) and familiar with machine learning libraries (such as TensorFlow, PyTorch, or Scikit-Learn)

• Basic familiarity with a range of cloud tech stacks and some experience deploying machine learning models

• Effective communicator and critical thinker with excellent problem-solving skills and the ability to articulate complex technical ideas clearly

• While you may not have commercial technology experience yet, your research background and ability to mobilise innovative solutions with a focus on end users are highly valued

What We Offer:

• The opportunity to work on impactful, research-driven and exploratory projects that explore advanced AI/ML applications in a consulting environment

• Direct mentorship and guidance from experienced leaders in the AI & ML Engineering team

• A dynamic, supportive environment that nurtures your academic interests and professional growth while exposing you to potential career pathways within technology consulting

• Flexible hybrid working arrangements tailored to support both your academic commitments and project requirements

• Regular social, sporting, community & learning events

  Click ‘Apply’ to be considered for this role and our Talent team will be in touch.

  We value a diverse workplace and strongly encourage people from all backgrounds and minority groups to apply.

Applications close: May 30th 2025