Senior Machine Learning Operations Engineer

Senior Machine Learning Operations Engineer

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

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, sexual 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.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesSoftware Development

Referrals increase your chances of interviewing at Easygo by 2x

Get notified about new Machine Learning Engineer jobs in Melbourne, Victoria, Australia.

Port Melbourne, Victoria, Australia 2 weeks ago

Melbourne, Victoria, Australia 1 month ago

Machine Learning Scientist, Amazon International Machine Learning

Melbourne, Victoria, Australia 1 week ago

Melbourne, Victoria, Australia 5 months ago

Melbourne, Victoria, Australia 4 months ago

Melbourne, Victoria, Australia 3 weeks ago

Melbourne, Victoria, Australia 2 weeks ago

Melbourne, Victoria, Australia 2 weeks ago

Melbourne, Victoria, Australia 1 week ago

Machine Learning Engineer Lead - User Voice (Remote across Australia & NZ)

Melbourne, Victoria, Australia 2 weeks ago

Melbourne, Victoria, Australia 1 month ago

Melbourne, Victoria, Australia A$90,000 - A$110,000 3 weeks ago

Expression of Interest: Senior Software Engineer

Cremorne, Victoria, Australia 1 month ago

Staff Machine Learning Engineer - User Voice (Remote across Australia & NZ)

Melbourne, Victoria, Australia 1 week ago

Melbourne, Victoria, Australia 2 days ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

---