Senior Machine Learning Operations Engineer (mlops)

KICK

Melbourne, Australia
Base: not specified; bonus/equity: lucrative annua...
On-site
5+ years mlops or devops experience
Expert proficiency in terraform
Deep hands-on aws cloud experience
Join the Data Science team as the first Senior MLOps Engineer to deliver robust, scalable AWS cloud infrastructure for petabyte-scale data

Job Summary

  • Join the Data Science team as the first Senior MLOps Engineer to deliver robust, scalable AWS cloud infrastructure for petabyte-scale data.
  • You will lead the design and implementation of end-to-end ML infrastructure, ensuring efficient model integration and continuous delivery through CI/CD pipelines.
  • The role offers a vibrant office environment with perks including daily breakfast, unlimited snacks, on-site massage, and access to over 9,000 learning courses.

Matching Summary

Join the Data Science team as the first Senior MLOps Engineer to deliver robust, scalable AWS cloud infrastructure for petabyte-scale data.

Salary

Base: Not specified; Bonus/Equity: Lucrative annual bonuses; Benefits: Paid volunteer day, wellness perks, and learning platform access

Skills & Requirements

Must-have

  • 5+ years MLOps or DevOps experience
  • Expert proficiency in Terraform
  • Deep hands-on AWS cloud experience
  • Building CI/CD pipelines for ML workloads
  • Proficiency with Docker and Kubernetes
  • Advanced Python scripting skills

Nice-to-have

  • Experience within iGaming industry
  • Petabyte-scale data volume experience
  • Distributed computing with Spark or Hadoop
  • Familiarity with observability platforms
  • Knowledge of data security and compliance

Key Requirements

  • Bachelor's degree in Computer Science or Engineering
  • 5+ years of relevant professional experience
  • Not specified

Work Rights

Not specified

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