Senior Machine Learning Operations Engineer (mlops)

EASYGO GAMING

Melbourne, Australia
Not specified; lucrative annual bonuses mentioned;...
On-site
5+ years mlops or devops experience
Expert proficiency in terraform
Deep hands-on aws cloud experience
This role involves leading the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team

Job Summary

  • This role involves leading the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team.
  • The successful candidate will drive architectural decisions for large-scale ML workloads using Infrastructure as Code, specifically Terraform.
  • Employees enjoy perks including daily breakfast, unlimited snacks, on-site remedial massages, and access to over 9,000 learning courses.

Matching Summary

This role involves leading the design and implementation of robust, scalable AWS cloud infrastructure to empower the data science team.

Salary

Not specified; Lucrative annual bonuses mentioned; Not specified

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
  • Docker and Kubernetes containerization
  • Advanced Python scripting skills

Nice-to-have

  • Experience within iGaming industry
  • Petabyte-scale data handling experience
  • Distributed computing with Spark/Hadoop
  • Monitoring and observability platforms
  • Data security and compliance knowledge

Key Requirements

  • Bachelor's degree in Computer Science or Engineering
  • 5+ years experience in MLOps, DevOps, or Data Engineering

Work Rights

Not specified

Tailored Resume

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