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.
Requirements
- 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
Montu
Montu is Australia's largest medical cannabis company, with operations in Australia and Europe
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