Job Description
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!
What's 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 iGaming industry, including Stake.com, Kick.com and Twist Gaming.
Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with Kick.com, 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 500+, we've 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.
Bachelor's 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 working with us:
Office Perks & Environment
In-house baristas serving free coffee, tea, fresh juices, and smoothies
Daily catered breakfast and regular company-wide events
Snack walls and drink fridges on every floor
Fun /modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator
Wellbeing & Personal Development
Access to our Employee Assistance Program for you and your loved ones
9,000+ courses on our Learning & Development platform
One paid volunteer day per year
Weekly Wednesday massages by professional masseuses
Team Connection & Rewards
Team budgets for lunches and activities to celebrate achievements
Social sports teams and participation in Corporate Games
Easygo branded swag
Birthday and work anniversary gift vouchers, plus a chance to win prizes
Events & Experiences
Company-wide talks with key partners such as Everton FC and Team Sauber in Formula 1
Office visits from big-name streamers
Meet Ambassadors like Alex Pereira, Israel Adesanya
Ballots for exclusive tickets to events like Formula 1, UFC, and more sporting and music events
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 everyone's perspectives and experiences, we never discriminate on the basis of race, religion, nationality, gender identity or expression, ****** orientation, age, or marital, veteran, or disability status.
We're a global team of dreamers, creators, and game-changers from every walk of life, united by a passion for entertainment that inspires the world.
We believe that the best ideas come from different perspectives, so we actively welcome and champion talent from all backgrounds, cultures, identities, and experiences. Whether you're just starting out or bringing decades of experience, your unique voice matters here.
What's 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 iGaming industry, including Stake.com, Kick.com and Twist Gaming.
Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with Kick.com, 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 500+, we've 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.
Bachelor's 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 working with us:
Office Perks & Environment
In-house baristas serving free coffee, tea, fresh juices, and smoothies
Daily catered breakfast and regular company-wide events
Snack walls and drink fridges on every floor
Fun /modern office spaces with pool tables, table tennis, gaming consoles, and an F1 simulator
Wellbeing & Personal Development
Access to our Employee Assistance Program for you and your loved ones
9,000+ courses on our Learning & Development platform
One paid volunteer day per year
Weekly Wednesday massages by professional masseuses
Team Connection & Rewards
Team budgets for lunches and activities to celebrate achievements
Social sports teams and participation in Corporate Games
Easygo branded swag
Birthday and work anniversary gift vouchers, plus a chance to win prizes
Events & Experiences
Company-wide talks with key partners such as Everton FC and Team Sauber in Formula 1
Office visits from big-name streamers
Meet Ambassadors like Alex Pereira, Israel Adesanya
Ballots for exclusive tickets to events like Formula 1, UFC, and more sporting and music events
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 everyone's perspectives and experiences, we never discriminate on the basis of race, religion, nationality, gender identity or expression, ****** orientation, age, or marital, veteran, or disability status.
We're a global team of dreamers, creators, and game-changers from every walk of life, united by a passion for entertainment that inspires the world.
We believe that the best ideas come from different perspectives, so we actively welcome and champion talent from all backgrounds, cultures, identities, and experiences. Whether you're just starting out or bringing decades of experience, your unique voice matters here.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Machine Learning Operations Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Melbourne offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
