A leading technology company is seeking the strongest Machine Learning Engineers in the market with strong experience with PyTorch as they scale their team with several opportunities available. You will play a key role in developing advanced deep learning systems, contributing across the full MLOps pipeline.

You’ll help to build and maintain a robust MLOps infrastructure and contribute to leading AI & ML models. Your work will support mission-critical applications, with a focus on dataset design, synthetic data generation, and performance benchmarking of deep learning models.

Location - Sydney (Hybrid)

What You'll Do:

• Design, improve, and maintain scalable MLOps pipelines for computer vision workflows
• Build systems for data collection, curation, and quality review
• Implement automated Exploratory Data Analysis (EDA) tools
• Create and manage synthetic data generation pipelines
• Develop and refine data sampling and benchmarking methods
• Perform hyper-parameter optimisation (HPO) and model tuning
• Experiment with and optimise deep learning architectures for visual recognition tasks

What You'll Bring:

• Bachelor's degree in Computer Science or related field (or equivalent industry experience)
• Hands-on experience in machine learning engineering, with a focus on MLOps and dataset management
• Strong proficiency in Python
• Practical experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with MLOps tools (SageMaker preferred), monitoring frameworks, and pipeline automation
• Experience generating and working with synthetic data

This is an incredible opportunity to work with cutting-edge technology for one of the leading technology companies in Australia.

Please Note - Applicants must have full relevant working rights to be considered

If you have any questions about this role or others we have available you can email our team directly via [email protected]

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We partner with clients who embrace diversity and seek candidates across all backgrounds, abilities, genders, sexualities, cultures, and faiths.

If you have the right skills and attitude we would love to hear from you!