Senior AI Modeller

Position Overview

• Location Type: Remote (Australia-based)
• Employment Type: Full-time
• Salary: Not specified

Montu is Australia's largest healthtech business focused on alternative healthcare. Founded in 2019, Montu supports patients, doctors, and pharmacies through Alternaleaf clinic, SAGED platform for accredited healthcare education, and Leafio for dispensing solutions. Montu is also a founding member of Cannabis Council Australia, advocating for legislative change. Their mission is to make alternative healthcare more affordable and accessible. Montu has been recognized as Australia’s fastest-growing tech company (Deloitte TechFast 50 - #1 in 2022 & 2023) and named #1 on LinkedIn’s Top Startups Australia 2024. This role offers access to co-working spaces in Sydney, Melbourne, and Brisbane.

Job Description: Senior AI Modeller

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 optimize AI solutions that directly contribute to the company's 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.

Key Responsibilities:

• 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 business needs and identify opportunities for AI/ML solutions.

Requirements

• (Details not provided in the job description)

Company Information

• Company Name: Montu
• Industry: Healthtech
• Website: (Not provided)
• Recognition:
  • Deloitte TechFast 50 (#1 in 2022 & 2023)
  • LinkedIn’s Top Startups Australia 2024 (#1)