3 Gpu Workloads Jobs

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4.0 - 9.0 years

17 - 27 Lacs

bengaluru, delhi / ncr, mumbai (all areas)

Hybrid

Job Description * Role & Responsibilities: Deploy and manage Kubernetes clusters with autoscaling using Karpenter . Implement event-driven scaling with KEDA for dynamic workloads. Optimize GPU workloads for compute-intensive tasks in Kubernetes. Build and maintain Grafana dashboards with Prometheus integration. Develop Python scripts for automation, IaC, and CI/CD pipelines. Manage containerized deployments with Docker and Helm . Collaborate on CI/CD workflows using Jenkins and GitLab. Troubleshoot production issues ensuring high availability . Mentor junior engineers and enforce DevOps best practices. Must-Have Skills: Golang (Mandatory) and Python expertise. Strong hands-on with KEDA , Kub...

Posted 1 month ago

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4.0 - 9.0 years

17 - 27 Lacs

bengaluru, delhi / ncr, mumbai (all areas)

Hybrid

Job Description * Role & Responsibilities: Deploy and manage Kubernetes clusters with autoscaling using Karpenter . Implement event-driven scaling with KEDA for dynamic workloads. Optimize GPU workloads for compute-intensive tasks in Kubernetes. Build and maintain Grafana dashboards with Prometheus integration. Develop Python scripts for automation, IaC, and CI/CD pipelines. Manage containerized deployments with Docker and Helm . Collaborate on CI/CD workflows using Jenkins and GitLab. Troubleshoot production issues ensuring high availability . Mentor junior engineers and enforce DevOps best practices. Must-Have Skills: Golang (Mandatory) and Python expertise. Strong hands-on with KEDA , Kub...

Posted 1 month ago

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4.0 - 8.0 years

0 Lacs

pune, maharashtra

On-site

Aera Technology is the Decision Intelligence company. Our platform, Aera Decision Cloud, integrates with enterprise systems to digitize, augment, and automate decisions in real time. We deliver millions of AI-powered recommendations each year, generating significant value for some of the world's largest brands. We are seeking a Machine Learning Engineer (Support & Ops focus) to ensure our AI-powered decision systems run reliably at scale. This role is less about building models from scratch, and more about keeping production AI systems healthy, observable, and performant, while enabling Data Science teams to deliver faster. This position is also a strong career pathway into ML feature develo...

Posted 2 months ago

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