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About the Role
Design, build, and optimize cloud infrastructure for machine learning operations, focusing on scaling AI models from research to production within a Google Cloud Platform (GCP) environment. Collaborate with data scientists, ML engineers, and DevOps experts to automate workflows, enhance performance, and ensure seamless operation of AI systems for a global player base.
Responsibilities
- Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible.
- Implement CI/CD pipelines for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools like Vertex AI, Jenkins, and DataDog.
- Build and maintain scalable data and feature pipelines for both real-time and batch processing using BigQuery, BigTable, Dataflow, Composer, Pub/Sub, and Cloud Run.
- Set up infrastructure for model monitoring and observability — detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards.
- Optimize inference performance, improving latency and cost-efficiency of AI workloads.
- Ensure overall system reliability, scalability, and performance across the ML/Data platform.
- Define and implement infrastructure best practices for deployment, monitoring, logging, and security.
- Troubleshoot complex issues affecting ML/Data pipelines and production systems.
- Ensure compliance with data governance, security, and regulatory standards, especially for real-money gaming environments.
Requirements
- 3+ years of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure.
- Strong hands-on experience with Google Cloud Platform (GCP) — especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub.
- Proficiency with Terraform.
- Solid grasp of containerization (Docker, Kubernetes) and orchestration platforms like GKE.
- Experience building and maintaining CI/CD pipelines, preferably with Jenkins.
- Strong understanding of monitoring and logging best practices for cloud and data systems.
- Scripting experience with Python, Groovy, or Shell.
- Familiarity with AI orchestration frameworks (LangGraph or LangChain) is a plus.
- Experience in gaming, real-time fraud detection, or AI-driven personalization systems is a plus.
Skills
- Terraform
- Ansible
- Vertex AI
- Jenkins
- DataDog
- BigQuery
- BigTable
- Dataflow
- Composer
- Pub/Sub
- Cloud Run
- Docker
- Kubernetes
- GKE
- Python
- Groovy
- Shell
- LangGraph
- LangChain
Location
- GCP environment
Work Type
- Full-time
Experience Level
- 3+ years
About the Company
- Powering machine learning operations for millions of players worldwide.