Senior AI Modeller

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.

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

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.

What You’ll Be Doing:

AI/ML Product Development:

• Design, build, and train machine learning models, including those leveraging Large Language Models(LLMs), for AI product development.
• Emphasise development within shared environments and version control systems (e.g., Git).
• Collaborate closely with Machine Learning Engineers (MLEs) from inception to ensure successful deployment of AI/ML products, providing models and necessary support.

Data Analysis and Preparation

• Collect, clean, and preprocess large datasets for model training and evaluation, including data for LLM applications
• Perform exploratory data analysis to identify patterns and insights relevant to AI product development, using shared data resources.

Rapid Experimentation and Evaluation

• Implement rapid experimentation frameworks to test and iterate on AI/ML models, using shared experimentation platforms (e.g., ClearML).
• Conduct rigorous evaluations and statistical analysis to measure performance and impact, always adhering to scientific best practices and ensuring thorough documentation.

Business Alignment and Product Opportunity Recognition

• Stay closely aligned with the business to understand needs and identify opportunities for AI product
• development.
• Collaborate with stakeholders to translate business problems and product ideas into AI/ML projects, ensuring shared understanding and documentation.

Coaching and Mentoring

• Provide guidance and coaching to other ML modellers, fostering their professional growth and development in the context of AI product creation.
• Share knowledge and best practices within the team, especially regarding LLMs, advanced AI techniques, and collaborative development practices.

Research and Innovation

• Stay up-to-date with the latest advancements in AI/ML, including LLMs, and apply them to product development, sharing research findings and code.

Collaboration and Communication

• Work closely with product managers, data engineers, software developers, and Machine Learning Engineers (MLEs), as well as other business stakeholders, using shared communication and project management tools.
• Communicate findings and insights to both technical and non-technical audiences, focusing on the value and impact of AI products.

Technical Expertise:

• Proven experience developing machine learning models in Python.
• Strong background in Large Language Models (LLMs) and related technologies (e.g., transformers, fine-tuning).
• Hands-on experience with version control (Git) and collaborative development.
• Proficiency in statistical analysis, experimentation, and model evaluation.
• Familiarity with cloud computing (GCP AI/ML services).

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.

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.
• Enhance your home office with our work from home equipment allowance 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.