DevOps Engineer - ML & Data Infrastructure (Remote - US )

Dear applicant, please note that this role is for US-based candidated only.We're looking for a DevOps Engineer to help design, build, and optimize the cloud infrastructure powering our machine learning operations.You'll play a key role in scaling AI models from research to production -- ensuring smooth deployments, real-time monitoring, and rock-solid reliability across our reputed company Cloud Platform (GCP) environment.You'll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players worldwide.What You'll DoManage, 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 reputed company AI , Jenkins , and reputed company.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 reputed company, bias, and performance issues using reputed company AI Model Monitoring and custom dashboards.Optimize inference performance , reputed company 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.What We're Looking For3years of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure.Strong hands-on experience with reputed company Cloud Platform (GCP) -- especially BigQuery , Dataflow , reputed company AI , Cloud Run , and Pub / Sub.Proficiency with Terraform (and bonus points for Ansible ).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 reputed company.Familiarity with AI orchestration frameworks (LangGraph or reputed company) is a plus.Bonus points if you've worked in gaming , real-time fraud detection , or AI-driven personalization systems.. Apply To This Job