Machine Learning Engineer in Australia Fair, Queensland at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Australia.

This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.
You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.
The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.
You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.
This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.

The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:

• Develop, train, test, and evaluate machine learning models to support product objectives.
• Prepare, clean, analyze, and manage datasets used for model training and validation.
• Improve model performance through experimentation, optimization, and continuous testing.
• Deploy, maintain, and monitor machine learning models in production environments.
• Collaborate with software engineers to integrate machine learning capabilities into products and applications.
• Track model performance and identify opportunities to improve accuracy, reliability, and efficiency.
• Apply modern machine learning techniques and stay informed about emerging technologies and best practices.
• Write clean, maintainable, and efficient code to support scalable AI solutions.
• Contribute to technical discussions and help solve complex engineering challenges.
• Participate in the continuous improvement of machine learning workflows and development processes.

The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:

• 1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities.
• Basic understanding of machine learning concepts, algorithms, and model development processes.
• Strong programming skills in Python.
• Familiarity with machine learning frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn.
• Comfortable working with data and writing clean, maintainable code.
• Experience using Git and version control practices.
• Strong problem-solving skills with the ability to analyze technical challenges.
• Good written and verbal English communication skills.
• Passion for learning, experimenting, and building AI-powered solutions.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory.
• Experience with large language models (LLMs) is an advantage.
• Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial.
• Knowledge of SQL and experience deploying machine learning models are considered advantages.
• Personal AI, machine learning projects, or open-source contributions are highly valued.

The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:

• Fully remote work opportunity.
• Flexible working environment with autonomy and work-life balance.
• Opportunity to build and improve real-world AI products.
• Exposure to challenging technical problems and modern machine learning technologies.
• Collaborative and fast-moving team environment.
• Opportunities for professional growth and continuous learning.
• Competitive compensation based on experience.
• Opportunity to contribute to impactful machine learning projects from anywhere.