MLOps Engineer - Hybrid & Production AI Pipelines

Eml Group

Sydney

Híbrido

AUD 120 000 - 150 000

Tempo integral

Há 10 dias

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Vantagens oferecidas por esta oferta de emprego

Hybrid work options
Fitness Passport
Retail discounts via RewardsHub
Wellbeing program
Learning & development
EAP for families
Company celebrations
Annual incentive & salary reviews

Resumo da oferta

EML, Australia’s leading personal injury claims technology team, is seeking an MLOps Engineer to bridge ML development and production in Sydney.

You’ll design and optimize infrastructure, pipelines and processes to enable reliable, scalable AI solutions, deploying models into production and driving automation.

This full-time, 12-month fixed-term contract offers collaboration with AI and technology stakeholders and opportunities to impact how emerging technologies are adopted.

Qualificações

  • 2+ years of experience as MLOps or Software Engineer.
  • Proficient in Python and production RESTful APIs with FastAPI.
  • Experience with CI/CD using GitHub Actions and containerization.
  • Experience deploying LLMs with vLLM and Ray; inference optimization.

Responsabilidades

  • Design, develop and maintain scalable Python apps, RESTful APIs, and AI solutions.
  • Build and optimize CI/CD pipelines with GitHub Actions.
  • Deploy and optimize LLM inference workloads with vLLM and Ray.
  • Containerise apps with Docker and Kubernetes; ensure reliability and performance.
  • Collaborate with stakeholders to deliver secure, production-ready AI solutions.

Conhecimentos

Python development
RESTful APIs
FastAPI
CI/CD pipelines
Kubernetes
Linux scripting

Ferramentas

Docker
vLLM
Ray
GitHub Actions

Descrição da oferta de emprego

EML, Australia’s leading personal injury claims technology team, is seeking an MLOps Engineer to bridge ML development and production in Sydney.

You’ll design and optimize infrastructure, pipelines and processes to enable reliable, scalable AI solutions, deploying models into production and driving automation.

This full-time, 12-month fixed-term contract offers collaboration with AI and technology stakeholders and opportunities to impact how emerging technologies are adopted.

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