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Principal AI Platform Engineer at Talenza
victoria, Victoria, Australia -
Full Time

Start Date

Immediate

Expiry Date

24 Jan, 27

Salary

45000.0

Posted On

26 Oct, 26

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description
  • Owning the technical direction and roadmap for the shared ML platform.
  • Leading and mentoring a team of three ML engineers.
  • Building production-grade platform components and services in Python.
  • Improving model-training, evaluation, deployment and inference workflows.
  • Creating a consistent developer experience for ML engineers and data scientists.
  • Supporting reproducible experimentation, model versioning and artifact management.
  • Improving model monitoring, observability and production reliability.
  • Helping teams optimise the cost and performance of CPU and GPU workloads.
  • Working with dedicated cloud and infrastructure specialists across AWS and Kubernetes.
  • Establishing engineering standards across testing, security, reliability and production operations.
  • Evaluating tools such as Kubeflow, SageMaker, Argo Workflows, Flyte, Ray and KubeRay where appropriate.

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Responsibilities
  • Owning the technical direction and roadmap for the shared ML platform.
  • Leading and mentoring a team of three ML engineers.
  • Building production-grade platform components and services in Python.
  • Improving model-training, evaluation, deployment and inference workflows.
  • Creating a consistent developer experience for ML engineers and data scientists.
  • Supporting reproducible experimentation, model versioning and artifact management.
  • Improving model monitoring, observability and production reliability.
  • Helping teams optimise the cost and performance of CPU and GPU workloads.
  • Working with dedicated cloud and infrastructure specialists across AWS and Kubernetes.
  • Establishing engineering standards across testing, security, reliability and production operations.
  • Evaluating tools such as Kubeflow, SageMaker, Argo Workflows, Flyte, Ray and KubeRay where appropriate.