About the Role
**Job Description**
As a Senior Platform Engineer (AI/ML), you will be responsible for designing and building the internal platforms, tools, and automation that power the AI/ML development lifecycle. This role focuses on reducing bottlenecks, eliminating manual effort, and enabling Data Science and ML teams to experiment, iterate, and deliver features efficiently. You will create scalable, secure, and cost-effective infrastructure that supports data ingestion, model training, deployment, and monitoring across cloud and on-prem environments.
**Responsibilities**
Design and maintain AI/ML platform infrastructure, including compute clusters (CPU/GPU), storage systems, and networking for high-performance workloads.
Develop internal tools and automation to streamline workflows across data preparation, model training, evaluation, and deployment.
Implement Infrastructure as Code (IaC) for reproducible environments and automated provisioning (Terraf...
As a Senior Platform Engineer (AI/ML), you will be responsible for designing and building the internal platforms, tools, and automation that power the AI/ML development lifecycle. This role focuses on reducing bottlenecks, eliminating manual effort, and enabling Data Science and ML teams to experiment, iterate, and deliver features efficiently. You will create scalable, secure, and cost-effective infrastructure that supports data ingestion, model training, deployment, and monitoring across cloud and on-prem environments.
**Responsibilities**
Design and maintain AI/ML platform infrastructure, including compute clusters (CPU/GPU), storage systems, and networking for high-performance workloads.
Develop internal tools and automation to streamline workflows across data preparation, model training, evaluation, and deployment.
Implement Infrastructure as Code (IaC) for reproducible environments and automated provisioning (Terraf...
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