Senior Machine Learning Engineer

at  Montu

ABOUT MONTU

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.
Job Description
We are seeking a highly skilled Senior Machine Learning Engineer with a strong focus on Machine Learning Operations (MLOps) to join our innovative data science team.
As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying scalable machine learning pipelines into production environments. You will work closely with data scientists and software engineers to optimise model deployment pipelines, ensure continuous integration/continuous delivery (CI/CD), and maintain model performance in a live setting.

QUALIFICATIONS

• Proficiency in Python and TensorFlow, PyTorch, or other relevant ML libraries.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud for ML deployment.
• Strong understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), and orchestration tools.
• Experience with monitoring tools like Datadog, Grafana, or similar to track model performance.
• Knowledge of infrastructure-as-code tools like Terraform or CloudFormation.
• Experience with version control (Git) and workflow automation.
• Familiarity with distributed data systems like Spark, Hadoop, or Kubernetes.
• Strong problem-solving skills and a commitment to continuous learning.
• Excellent communication skills, both written and verbal.

Please refer the Job description for details