Senior AI Engineering Specialist

2 weeks ago


Brisbane, Queensland, Australia beBeeSpecialist Full time $120,000 - $150,000

Job Title:

Senior AI Engineering Specialist

We are building one of the world's highest-throughput Generative AI platforms, enabling millions of users to create high-quality images and videos with ease.

Our mission is to accelerate innovation by providing tools, infrastructure, and expertise that help every other product team move faster.

The Role:
  • You will work at the intersection of Generative AI and MLOps, partnering with researchers and engineers to design pipelines, GPU infrastructure, and automation that transform cutting-edge research into production-ready features.
  • Generative AI & Inference: Collaborate with researchers, build production pipelines for diffusion-based models, optimise inference for speed and reliability using techniques like quantisation, distillation, caching, and multi-GPU parallelism.
  • MLOps & Infrastructure: Develop automated MLOps pipelines covering training, deployment, monitoring, and retraining, set up clear monitoring and alerting for model performance.
  • Platform Acceleration: Embed in other teams, develop shared tooling, reusable workflows, and architecture patterns that help teams across build and ship faster.

Skills We Require:

  • Generative AI Experience: Experience deploying diffusion-based or similar generative models into production, working with inference optimisation techniques.
  • MLOps Expertise: Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
  • Infrastructure & Cloud: Hands-on with AWS (S3, EC2, SageMaker), Kubernetes, Docker, and Infrastructure-as-Code (Terraform).
  • Performance & Efficiency: Proficient in techniques such as quantisation, distillation, caching, and distributed inference.
  • Data Foundations: Ability to design scalable data pipelines and storage solutions (SQL/NoSQL).
  • Engineering Craft: Strong Python skills and a focus on writing clear, maintainable, and collaborative code.

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