Senior Machine Learning Operations Engineer (MLOps) (iGaming)

TL;DR

Senior Machine Learning Operations Engineer (MLOps) (iGaming): Building and scaling end-to-end ML infrastructure and automation solutions on AWS with an accent on Infrastructure as Code and CI/CD pipelines. Focus on optimizing petabyte-scale data workloads, ensuring model reliability, and mentoring junior engineers.

Location: Melbourne, Australia (Hybrid: up to 2 days work from home per week)

Company

hirify.global is a prominent service provider for entertainment brands including Stake.com, Kick.com, and Twist Gaming.

What you will do

• Lead the design, implementation, and maintenance of end-to-end ML infrastructure from development to production monitoring.
• Drive cloud architectural decisions for large-scale ML workloads using Terraform (IaC).
• Implement and maintain CI/CD pipelines for efficient model integration and continuous delivery.
• Build and optimize monitoring, alerting, and logging systems to ensure model performance and compliance.
• Collaborate with data scientists and stakeholders to streamline workflows and identify infrastructure needs.
• Provide technical guidance and mentorship to junior MLOps engineers and data scientists.

Requirements

• 5+ years of experience in MLOps, DevOps, Data Engineering, or cloud infrastructure.
• 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 building and maintaining CI/CD pipelines specifically for ML workloads.
• Proficiency with Docker, Kubernetes, and advanced Python for infrastructure automation.

Nice to have

• Experience within the iGaming industry.
• Experience working with petabyte-scale data.
• Knowledge of distributed computing and big data technologies like Spark and Hadoop.
• Familiarity with observability platforms and ML data security/governance practices.

Culture & Benefits

• Hybrid work model with up to 2 days WFH per week.
• Lucrative annual bonuses and a paid volunteer day.
• Access to a Learning and Development Platform with 9,000+ courses.
• On-site perks: full-time baristas, daily breakfast, unlimited snacks, and remedial massage Wednesdays.
• Fun office environment with F1 simulators, table tennis, and gaming consoles.
• Employee Assistance Program (EAP) for employees and their families.