Chief Machine Learning Architect

1 week ago

Sydney, New South Wales, Australia beBeeMACHINE Full time $190,416 - $242,148
Job Summary

We're seeking a talented Senior Machine Learning Engineer to join our team. This role involves building and deploying machine learning systems that drive business value.

  • Develop benchmarking frameworks for Large Language Models (LLMs) to assess quality, latency, and cost trade-offs.
  • Contribute to the design and implementation of LLM Proxy to enable safe, observable, and cost-optimized access to multiple foundation models.
  • Collaborate with applied ML, product, and platform teams to ensure GenAI infrastructure meets diverse product needs.
  • Implement best practices for monitoring, observability, rate-limiting, and cost attribution for LLM services.
  • Establish strong engineering practices around reliability, security, and cost monitoring.
  • Work on orchestration tooling to integrate AI agents with products.
Key Requirements
  • 5+ years of experience in developing and deploying ML systems in production, with expertise in scaling infrastructure and ensuring service reliability.
  • Familiarity with core ML infrastructure components such as model registries, feature stores, orchestration tools, and inference serving systems.
  • Understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.
  • Experience with cloud platforms (GCP, AWS, Azure), containerization (Docker), and distributed systems (Kubernetes).
  • Proficiency in at least one server-side language (Python, Java, Scala, Golang, Ruby) and solid grounding in testing and CI/CD workflows.
  • Understanding of architecture principles and patterns for building scalable backend services.
  • Experience taking projects from design to production deployment, focusing on maintainability and performance.

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