Easygo

JuniorMLOpsEngineer

A$75–95k ~AI est. Melbourne, Victoria, Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Junior MLOps Engineer at Easygo. Skills: MLOps, Cloud infrastructure, Automation, Monitoring. Assist with implementing ML infrastructure. Assist with maintaining ML infrastructure”

Industry & Context.

Problems you'll solve

Troubleshoot technical problems

What They're Looking For.

Must Have

2 years of experience, Bachelor's degree in Computer Science, Foundational understanding of cloud infrastructure, Some exposure to IaC tools, Working understanding of CI/CD concepts, Familiarity with Python, Familiarity with containerisation technologies

Nice to Have

Interest in business outcomes, Keen to explore new technologies, Collaborative across diverse teams, Willing to troubleshoot with guidance

What You'll Do.

Assist with implementing ML infrastructure

Assist with maintaining ML infrastructure

Assist with automation

Assist with production monitoring

Support cloud infrastructure tasks

Contribute to monitoring systems

Contribute to alerting systems

Contribute to logging systems

Partner with data scientists

Partner with stakeholders

Understand infrastructure needs

Streamline ML workflows

Learn cloud infrastructure best practices

Learn automation best practices

Learn ML operations best practices

How You'll Work.

Team & Collaboration

Senior engineers; Data scientists; Stakeholders

Full Job Description

Are you ready to get the Easygo Edge? Join us as a Junior MLOps Engineer and help keep our machine learning running at scale. You'll work alongside senior engineers and data scientists, learning how cloud infrastructure, automation and monitoring deliver reliable ML models to millions of users every day. What you’ll build with us: You'll help build and maintain the infrastructure that takes our ML models into production and keeps them running smoothly. From automating cloud workflows with Terraform to supporting the monitoring that keeps models reliable, you'll learn the craft from people who do it at scale. We know that innovation ignites when we build and create together, in person. This is a full-time opportunity at our Melbourne office. You’ll work right where it all happens, surrounded by our fearless crew shipping high-impact work. Who is Easygo? We’re a high-growth, high-velocity tech company with millions of eyeballs on us every day. We’re building the future of fearless tech. We’re the creators behind some of the most popular brands including Stake, KICK and Easygo Games. While they command a fierce global following, our crew is employed directly by Easygo and that’s where the real fun happens. We’re always looking for people who are hungry, humble and move fast. People who are ready to Unify, Disrupt and Evolve with us. With us you’ll grow faster and go further. Your work has impact. And that gives you an edge you can’t get anywhere else. The impact you’ll make: Assist with implementing and maintaining ML infrastructure and automation, from development through deployment and production monitoring. Support cloud infrastructure tasks for ML workloads, including Infrastructure as Code (IaC) tools such as Terraform. Contribute to monitoring, alerting, and logging systems that keep models reliable, performant, and compliant. Partner with data scientists and stakeholders to understand infrastructure needs and streamline ML workflows. Learn from senior MLOps engi

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