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Sydney
2 days ago
Senior Machine Learning Engineer (Platform) logo

Senior Machine Learning Engineer (Platform)

Neara

Sydney
2 days ago
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Senior Machine Learning Engineer (Platform)

Neara is seeking a Senior MLOps Engineer to build and operate ML pipelines, deployment systems, and observability for training and serving machine learning models in production. The role involves managing distributed training infrastructure, automating CI/CD for models, and ensuring production model health. The ideal candidate has strong Python and PyTorch skills, experience with cloud platforms, container orchestration, and infrastructure as code.

Core AIOn-siteFull-timeSeniorPythonPyTorch

Senior Machine Learning Engineer (Platform)

Neara is seeking a Senior MLOps Engineer to build and operate ML pipelines, deployment systems, and observability for training and serving machine learning models in production. The role involves managing distributed training infrastructure, automating CI/CD for models, and ensuring production model health. The ideal candidate has strong Python and PyTorch skills, experience with cloud platforms, container orchestration, and infrastructure as code.

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Core AIOn-siteFull-timeSeniorPython

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

On-site

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
PythonPyTorchMachine LearningML pipelinesModel servingMonitoringDistributed trainingGPU infrastructureAWSGCPAzureKubernetesDockerInfrastructure as CodeCI/CD
Soft Skills
Engineering judgementProblem-solvingCommunicationCollaboration

Preferred Qualifications

Technical (Nice-to-have)
CUDAKernel-level optimizationPoint cloud dataGeospatial dataAir-gapped environments

Key Responsibilities

  • •Build and operate ML pipelines end-to-end
  • •Automate the path to production with CI/CD for models
  • •Keep production models healthy with monitoring and alerting
  • •Run distributed training infrastructure on GPU clusters
  • •Ship reliable serving infrastructure for inference services
  • •Remove friction for the ML team by improving tooling and workflows
MLOpsMachine LearningSeniorSydneyFull-timeOn-sitePythonPyTorchKubernetesCloud
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