Cutting Edge AI Solutions Architect

5 days ago

Brisbane, Queensland, Australia beBeeAI Full time $120,000 - $150,000
Job Description:

We are seeking a highly skilled Senior Machine Learning Engineer to join our team.

  • This individual will work at the intersection of Generative AI and MLOps, partnering with researchers and engineers to bring new models from prototype to production.

The ideal candidate will have experience deploying generative models to production, working with techniques like LoRA or diffusion, and optimising inference across GPUs. Strong Python skills and a focus on writing clear, maintainable, and collaborative code are also required.

This is an exciting opportunity to contribute to the development of cutting-edge AI tools and infrastructure.

Key Responsibilities:
  • Generative AI & Inference: Collaborate with researchers to bring new models from prototype to production, build and maintain production pipelines for inference optimisation.
  • MLOps & Infrastructure: Develop and maintain automated MLOps pipelines covering training, deployment, monitoring, and retraining, design secure, reliable infrastructure on AWS using Infrastructure-as-Code tools like Terraform.
  • Platform Acceleration: Be embedded in other teams to support high-impact projects requiring deep ML expertise, develop shared tooling, reusable workflows, and architecture patterns that help teams build and ship faster.
Requirements:
  • Generative AI Experience: Experience deploying diffusion-based or similar generative models into production, working with techniques like LoRA or diffusion, and optimising inference across GPUs.
  • MLOps Expertise: Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
  • Infrastructure & Cloud: Hands-on with AWS, Kubernetes, Docker, and Infrastructure-as-Code (Terraform).
  • Data Foundations: Ability to design scalable data pipelines and storage solutions.
  • Engineering Craft: Strong Python skills and a focus on writing clear, maintainable, and collaborative code.

We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered.

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