Leading AI Infrastructure Architect

2 weeks ago

Melbourne, Victoria, Australia beBeeMachineLearningEngineer Full time $150,000 - $185,000
Job Overview

We are seeking an experienced Machine Learning Engineer to join our global R&D team. The ideal candidate will have a strong background in Generative AI and MLOps, with expertise in building automated workflows for training, deploying, and monitoring ML models at scale.

Key Responsibilities:
  • AI Infrastructure Development:
    • Design and build scalable data pipelines and storage solutions (SQL/NoSQL).
    • Develop and maintain production pipelines for diffusion-based and related generative models (e.g. LoRA, ControlNet).
    • Optimise inference for speed, reliability, and efficiency using techniques such as quantisation, distillation, caching, and multi-GPU parallelism.
  • Engineering Excellence:
    • Write clear, maintainable, and collaborative code in Python.
    • Embed with other teams to support high-impact projects requiring deep ML expertise.
    • Promote knowledge-sharing, best practices, and scalable solutions across the organisation.
Requirements:
  • Generative AI Experience: Experience deploying diffusion-based or similar generative models into production and 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.
Benefits

We offer a range of benefits to support your wellbeing, social connection, and professional growth. We celebrate diversity and strive to create an inclusive environment where everyone feels valued and empowered.

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