Senior Machine Learning Operations Engineer (mlops)

Easygo Solutions

Melbourne, Australia
Lucrative annual bonuses; benefits: not specified
On-site
5+ years mlops or devops experience
Expert proficiency in terraform
Deep hands-on aws cloud experience
You will lead the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team

Job Summary

  • You will lead the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team.
  • The role involves working with petabyte-scale data across global platforms that directly impact millions of users.
  • Employees enjoy perks including daily breakfast, unlimited snacks, on-site massage Wednesdays, and access to over 9,000 learning courses.

Matching Summary

You will lead the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team.

Salary

Lucrative annual bonuses; Benefits: Not specified

Skills & Requirements

Must-have

  • 5+ years MLOps or DevOps experience
  • Expert proficiency in Terraform
  • Deep hands-on AWS cloud experience
  • Strong CI/CD pipeline building skills
  • Proficiency with Docker and Kubernetes
  • Advanced Python scripting for automation

Nice-to-have

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

Key Requirements

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

Work Rights

Not specified

Tailored Resume

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