Company Description

Montu is one of Australia's leading health tech businesses and a leader in alternative health services. With operations in Australia and Europe, we take a technology-first approach to reshaping the landscape for suppliers, practitioners, pharmacies and patients.

Montu operates a fully integrated, end-to-end ecosystem of healthcare companies that touches every part of the alternative health experience, from patient care through to pharmacy dispensing, clinical education, product development, wholesale distribution and more. Our brands include Alternaleaf, UMeds, Leafio and Saged.

Recognised by the Deloitte Fast 50 as the fastest growing tech company in Australia for two years running – with revenue growth of over 26,000% and 9,000% – Montu is now the largest business of its kind outside North America.

This role is an Australia-based, fully work-from-home position, with access to co-working spaces in Sydney, Melbourne and Brisbane.

Job Description

Are you passionate about building cutting-edge technology that drives innovation? Join our team as a Machine Learning Engineer, where you'll play a pivotal role in creating, deploying, and managing machine learning models that power our advanced platforms.

What You'll Do:

• Develop and maintain core infrastructure supporting the entire ML lifecycle, from model creation to deployment and management.
• Collaborate with software engineers and data scientists to enhance platform capabilities using Large Language Models (LLMs).
• Solve complex infrastructure and architecture challenges to ensure system scalability and reliability.
• Stay ahead of the curve by exploring emerging trends in AI/ML and contributing to our innovative direction.
• Work cross-functionally to drive project success and communicate technical outcomes effectively.

Qualifications

• An advanced degree or proven experience in computer science, machine learning, or a related field.
• Expertise in software development, particularly in deploying ML models in production.
• Demonstrated ability to solve technical challenges related to machine learning model development, optimization, and deployment.
• Familiarity with Large Language Models (LLMs) and their potential applications.
• Hands-on experience with ML tools and Frameworks like TensorFlow, PyTorch, and scikit-learn.
• Familiarity with cloud platforms like Google Cloud, AWS, or Azure.
• Strong communication skills and a collaborative spirit.
• A commitment to staying updated on the latest AI/ML advancements

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.

Other benefits include:

• Gaining access to SAGED courses and more through the Greenhouse learning platform, fostering continuous growth and development.
• Enjoying discounts with over 450 retailers through our Reward and Recognition platform.
• The freedom of a full-time, work-from-home role.
• Access to co-working spaces in Sydney, Melbourne, Brisbane, and select regional cities.
• Mental health support through our wellbeing platform, Unmind.
• A private health insurance discount through Medibank.
• Up to 8 weeks of paid parental leave.
• Swag kits to celebrate key milestones in your journey with us.
• Enhancing your home office with our ergonomic equipment reimbursement benefit.
• Being part of one of the fastest-growing industries in Australia, improving the lives of hundreds of thousands of patients.

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We are committed to facilitating a barrier-free recruitment process and work environment. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience.