Senior Machine Learning Operations Engineer (MLOps)

Passionate about building and deploying Machine Learning pipelines at scale to drive business value Join our growing Data Science Team as our first Senior Machine Learning Operations (MLOps) Engineer!

Whats in it for you

As a Senior MLOps Engineer you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation.

Your role with us:

In your role with us you will enhance our machine learning operations (MLOps) delivering: robust scalable AWS cloud infrastructure and automation solutions that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms directly impacting millions of users.

Who are we

At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment industry including and Twist Gaming.

Stake is the worlds largest crypto casino and leads the industry with a seamless online casino and sportsbook experience.

Level up your online entertainment with the vibrant live-streaming platform which connects millions of gamers and content creators worldwide.

All alongside the innovative game design studio Twist Gaming which takes creativity to new heights by crafting cutting-edge and captivating games.

Our commitment to placing our clients and their communities entertainment at the forefront of everything we do has solidified us as the ultimate online service provider for entertainment companies.

Headquartered in the beautiful city of Melbourne our growth has been remarkable. From humble beginnings to a thriving workforce of 700 weve expanded not only in numbers but in ambition. There really is something for everyone here whether you work in Tech Marketing Operations Mathematics or Design we are sure to have something for everyone.

Click play on your career today!

What you will do:

• Lead the design implementation and maintenance of end-to-end ML infrastructure and automation solutions from: development to deployment and production monitoring.
• Drive cloud infrastructure and architectural decisions supporting large-scale ML workloads leveraging Infrastructure as Code (IaC) particularly using Terraform.
• Implement and maintain CI/CD pipelines ensuring efficient model integration deployment and continuous delivery.
• Build and optimise monitoring alerting and logging to ensure model reliability performance and compliance.
• Collaborate closely with data scientists and stakeholders to identify infrastructure needs streamline workflows and effectively communicate complex technical concepts.
• Provide mentorship and technical guidance to junior MLOps engineers and data scientists to promote best practices in ML infrastructure.

What you will bring:

Essential experience

• 5 years of experience in MLOps DevOps Data Engineering and/or cloud infrastructure roles preferably supporting data science or Machine Learning teams.
• Bachelors degree in Computer Science Engineering or a related technical field.
• Expert proficiency in cloud infrastructure management using Terraform.
• Deep hands-on experience with major cloud platforms (AWS Azure or GCP).
• Strong experience in building and maintaining CI/CD pipelines specifically for ML workloads.
• Proficiency with containerisation technologies (Docker Kubernetes).
• Advanced proficiency in Python and scripting for infrastructure automation.

Bonus points if you also have:

• Experience within iGaming.
• Experience working with large volumes of data preferably at petabyte-scale.
• Extensive experience with distributed computing and big data technologies (e.g. Spark Hadoop).
• Familiarity with monitoring and observability platforms.
• Knowledge of data security governance and compliance practices relevant to ML operations.

Some of the perks of joining us:

• Access to over 9000 courses across our Learning and Development Platform.
• EAP access for you and your family.
• Be rewarded with lucrative annual bonuses.
• Give back with a paid volunteer day.
• Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments all on the house.
• Break up the week with on site remedial massage Wednesdays.
• In house full-time baristas providing you your daily coffee needs.
• Weekly team lunches and happy hour in the office from 4pm on Fridays.
• Enjoy a bustling office with the option for up to 2 days work from home per week.
• Fun office environment with F1 simulators table tennis and all your favourite gaming consoles.

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyones perspectives and experience we never discriminate on the basis of race religion national origin gender identity or expression sexual orientation age or marital veteran or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field where merit and accomplishment are the only criteria for success.