Machine Learning Architect

2 weeks ago

Melbourne, Victoria, Australia beBeeMachineLearning Full time $120,000 - $180,000

Job Title: Senior Machine Learning Engineer

We are seeking a skilled professional to join our team in this high-impact role.

Job Description:

This position will work at the intersection of Generative AI and MLOps, partnering with researchers and engineers to design scalable data pipelines and storage solutions.

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.

Key Responsibilities:
  • Generative AI & Inference: Collaborate with researchers to bring new models from prototype to production, build and maintain production pipelines for diffusion-based and related generative models, and optimise inference for speed, reliability, and efficiency.
  • MLOps & Infrastructure: Develop and maintain automated MLOps pipelines, build CI/CD workflows for machine learning, create scalable data pipelines and storage solutions, set up clear monitoring and alerting for model performance, and design secure, reliable infrastructure on AWS using Infrastructure-as-Code tools.
  • Platform Acceleration: Be embedded in other teams, develop shared tooling, reusable workflows, and architecture patterns that help teams build and ship faster.
Requirements:
  • Experience deploying diffusion-based or similar generative models into production and working with inference optimisation techniques.
  • Skilled in building automated, reliable workflows for training, deploying, and monitoring ML models at scale.
  • Hands-on with AWS, Kubernetes, Docker, and Infrastructure-as-Code (Terraform).
  • Proficient in techniques such as quantisation, distillation, caching, and distributed inference.
  • Ability to design scalable data pipelines and storage solutions (SQL/NoSQL).
  • Strong Python skills and a focus on writing clear, maintainable, and collaborative code.
  • Thrive in cross-functional teams and enjoy supporting others' success while learning continuously.
Benefits:

This role offers the opportunity to work with cutting-edge technologies, collaborate with experienced professionals, and contribute to innovative projects.

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