Machine learning (ML) Engineer at Ticketek Entertainment Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Shell Scripting, Go, BigQuery, Vertex AI, Dataflow, Cloud Run, GKE, Pub/Sub, Terraform, GitHub Actions, Postgres DBs, NoSQL, Airflow, Looker

Industry

Entertainment Providers

Description

About Ticketek Entertainment Group Ticketek Entertainment Group is a global fan experience Company that tickets, promotes and delivers incredible live experiences that are impossible to forget. In a distracted world where nothing beats real human moments, We make life better live! Our Group includes; our Fan Experience Platform (Ticketek) that sells tickets and provides value added services, Event promoting with businesses across Touring (TEG Touring), Sport (TEG Sport), and Family Experiences (TEG Experiences) and our digital business (Ovation) which focuses on delivering seamless data-driven outcomes for our fans and partners About the Role: As a ML engineer, We are seeking a highly experienced Senior Engineer to lead the design and evolution of our world-class recommendation and decision engine. You will be responsible for building a "Single Customer View" platform that integrates real-time data pipelines, Vertex AI, and transactional API solutions. A core focus of this role is leading the transition from legacy architectures to modern, serverless cloud environments, utilizing Infrastructure-as-Code (IaC) to ensure the platform is scalable, cost-efficient, cyber and GDPR-compliant What does a day in the life look like? ML Design & Cloud Architecture Production-Ready ML & MLOps: Partner with Data Scientists to transition experimental models into robust production services; design automated, scalable pipelines for training, evaluation, and deployment using Vertex AI. Data Warehouse & SCV: Architect highly scalable Cloud Data Warehouses and Single Customer View logic using Python, Go, and SQL to power real-time decisioning and unified customer profiles. Smart Orchestration: Manage complex workflow automation using Cloud Composer (Airflow) and Cloud Workflows, prioritizing the migration to fully managed services. Data Engineering & Analytics High-Performance Pipelines: Design streaming data applications using Dataflow (Apache Beam), Cloud Run, and Pub/Sub, including API integrations with robust retry mechanisms. Hybrid Database Management: Build optimized data models in BigQuery and AlloyDB to support both high-speed transactional queries and analytical insights via Looker. Site Reliability (SRE): Apply SRE principles to diagnose faults in distributed systems and implement advanced monitoring via Google Cloud Operations Suite. DevOps, Security & FinOps Infrastructure as Code (IaC): Manage multi-cloud (GCP/AWS) infrastructure using Terraform and GitHub Actions, ensuring all provisioning follows strict version-control and CI/CD principles. Security & Compliance: Implement secure authentication frameworks (e.g., Workload Identity Federation) and ensure all data handling exceeds GDPR standards. Cloud Efficiency & Governance: Drive FinOps initiatives through serverless conversions and resource rightsizing while maintaining high-quality documentation for architecture and data lineage. About You Essential experience & skills Languages: Expert-level Python, SQL, and Shell Scripting; working knowledge of Go. GCP Ecosystem: Deep expertise in BigQuery, Vertex AI, Dataflow, Cloud Run, GKE, and Pub/Sub. Infrastructure: Mastery of Terraform and GitHub Actions or Gitlab Databases: Hands-on experience with Postgres DB's, and NoSQL solutions. Tools: Expertise in Airflow (DAG development), Looker (LookML), and API management. Certifications: Professional GCP/AWS Cloud Architect or Data Engineer certifications are highly regarded. Here’s a taste of what TEG offers: Complimentary event tickets Birthday and volunteering leave Wellbeing discounts & flu vaccinations Paid parental leave & free employee support (EAP) Global rewards and recognition Learning, development & career pathways A diverse, inclusive, and passionate team Equal Opportunities TEG is an equal opportunity employer committed to embrace diversity, respect, and care for our people and communities. If there are any adjustments that need to be made to ensure you have a fair and equitable experience in our recruitment process, please advise us when scheduling your interview. *Only direct applications will be considered. No recruiters please*

Responsibilities

The Senior Engineer will lead the design and evolution of a world-class recommendation and decision engine, focusing on building a 'Single Customer View' platform integrating real-time data pipelines, Vertex AI, and transactional APIs. A core function involves leading the migration from legacy architectures to modern, serverless cloud environments using Infrastructure-as-Code for scalability and compliance.