AI Engineer

1 week ago

Sydney, New South Wales, Australia Talenza Full time
Overview

Are you passionate about building and deploying real-world AI solutions? We're looking for an AI Engineer who thrives on solving complex problems with data, prototyping models, and taking solutions from concept through to production. This role is highly hands-on: you'll be coding daily, experimenting with state-of-the-art frameworks, and working closely with other engineers to deliver systems that make a real impact.

Base pay and role details

Base pay range: A$150,000.00/yr - A$170,000.00/yr

$170,000 inc. super + bonus
• Permanent Role | Sydney CBD

Responsibilities
  • Design, develop, and deploy AI/ML models into production.
  • Build robust data pipelines and integrate them with cloud platforms.
  • Prototype and experiment with new techniques, iterating quickly.
  • Implement best practices in MLOps for training, testing, deployment, and monitoring.
  • Optimise performance and scalability of AI applications.
  • Collaborate with software engineers, data engineers, and stakeholders to align solutions with business needs.
What we're looking for
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, Engineering, or related field.
  • Strong coding experience in Python (bonus: R, Java, or C++).
  • Experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes).
  • Solid understanding of ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with end-to-end AI development (data → model → deployment → monitoring).
  • Knowledge of MLOps pipelines and best practices.
  • Strong problem-solving skills and ability to write clean, maintainable code.
Why join

This is a hands-on engineering role where you'll work with cutting-edge technologies, deliver meaningful AI solutions, and continue to develop your expertise in a collaborative, high-performing environment.

Ready to get hands-on with AI? Apply today to join as an AI Engineer and build solutions that push the boundaries of what's possible.


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