Company Description
Montu is Australia’s largest healthtech business with a focus on alternative healthcare. Founded in 2019, it supports patients, doctors and pharmacies through its Alternaleaf clinic, offers accredited healthcare education to clinicians via its SAGED platform, and dispensing solutions to pharmacies across Australia through Leafio. Montu is also the founding member of Cannabis Council Australia, a non-for-profit advocacy body that advances legislative change across the healthcare landscape. Our mission is to make alternative healthcare more affordable and accessible for the millions who could benefit.
Montu has been recognised as Australia’s fastest-growing tech company in the Deloitte TechFast 50 for two consecutive years (#1 in 2022 and 2023), achieving remarkable revenue growth of 26,000% and 9,000%. Named #1 on LinkedIn’s Top Startups Australia 2024, Montu has cemented its position as the largest business of its kind outside North America and continues to evolve on its journey.

MINDSET & SOFT SKILLS:

• Passion for AI innovation and pushing the boundaries of what’s possible.
• Ability to communicate complex AI concepts to diverse audiences.
• Strong problem-solving skills with a results-driven approach.
• Experience mentoring and coaching junior team members.
  Additional Information
  You’ll be joining a highly motivated, agile team where your ideas and work will directly influence the direction and progress of an expanding global company in a hyper-growth phase. We pride ourselves on our collaborative and driven culture and offer opportunities for advancement to high achievers.

THIS ROLE IS AN AUSTRALIA-BASED, FULLY WORK-FROM-HOME POSITION, WITH ACCESS TO CO-WORKING SPACES IN SYDNEY, MELBOURNE AND BRISBANE.

Job Description
The Senior AI Modeller at Montu will play a pivotal role in the development and deployment of cutting-edge AI-driven products. They will leverage their expertise in machine learning, including Large Language Models (LLMs), to design, build, and optimise AI solutions that directly contribute to our roadmap.
This involves close collaboration with cross-functional teams, implementing rapid experimentation frameworks, conducting rigorous evaluations, and staying attuned to business opportunities. The work will be grounded in scientific and software engineering best practices, whilst also providing mentorship and coaching to other ML modellers.