AI Innovation Leader

2 weeks ago

Adelaide, South Australia beBeeGenerative Full time $90,000 - $120,000
Machine Learning Engineer Position

This is a senior-level position for a machine learning engineer who will work at the intersection of Generative AI and MLOps. The ideal candidate will have experience deploying diffusion-based or similar generative models into production, working with inference optimisation techniques, and building automated, reliable workflows for training, deploying, and monitoring ML models at scale.

Job Responsibilities:
  • Collaborate with researchers to bring new models from prototype to production and ensure they deliver meaningful value.
  • Build and maintain production pipelines for diffusion-based and related generative models.
  • Optimise inference for speed, reliability, and efficiency using techniques such as quantisation, distillation, caching, and multi-GPU parallelism.
Required Skills and Qualifications:
  • 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).
Career Advantages:
  • Empowering Growth: Your development is our priority, and we offer continuous learning opportunities and career growth tailored to your goals.
  • Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered.
  • Flexible Work Environment: We understand the importance of work-life balance and offer flexible work arrangements.

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