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ML Engineer / Principal ML Engineer

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ML Engineer / Principal ML Engineer

Contract type: Permanent
Location: Sydney
Industry: Data & Analytics
Reference: 3385510

Job description

Machine Learning Engineer / MLOps Engineer / Principal Machine Learning Engineer / ML Engineer

My client, one of the best ML houses in Australia, is looking for a number of Machine learning Engineers to fill multiple expansion roles throughout the team/

Given the nature of the team, and the future expansion in the works – these positions are focused entirely on model deployment and automation. You will work alongside market-leading Data Scientists to automate the mode-deployment process using a variety of market-leading technology.
What You’ll Do
  • Build fully-automated ML pipelines
  • Work closely with Data Scientists to deploy models into production
  • You will utilise Kubernetes (K8s) and Docker to improve the deployment process
  • Collaborate with a variety of technical and functional teams to deliver on a variety of requirements.
  • A whole heap more! I don't want to drag on too much...
What You’ll Bring
  • Tertiary degree in Data, IT or Engineering
  • Experience with Python, Rest APIs, real-time processing and the cloud
  • Experience with Kubernetes and Docker
  • Comfortable with Python and cloud (Ideally GCP, but we are open to all of the Big 3) 
On offer is a great package, a first-rate environment and a heap of opportunities to learn! The team there are fun and flexible, expect a great culture and the opportunity to be as WFH/flexible as you like - your output is more important than a certain number of hours in the office.
These positions are open to candidates on the east coast.

For more information, please reach out to Andrew de Roos at
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