Job Description
Title: AI Platform Engineer
Location: Gurgaon, Pune, and Bengaluru
Exp: 5-10 years
Job Description:
Key Responsibilities
1. Platform Engineering & Infrastructure (Media-Focused)
• Design, build, and maintain AI/ML platforms supporting multimodal training, fine-tuning, and inference (video, audio, images, text).
• Implement Infrastructure-as-Code using Terraform, Pulumi, or CloudFormation for reproducible media AI environments.
• Build scalable containerized systems using Docker, Kubernetes, KServe, Triton Inference Server for high-throughput media inference.
• Deploy and optimize GPU clusters for training video models, LLMs, ASR, OCR, and multimodal transformers.
• Manage high-volume media ingest pipelines (FFmpeg, MediaConvert, Azure Video Indexer integrations).
Location: Gurgaon, Pune, and Bengaluru
Exp: 5-10 years
Job Description:
Key Responsibilities
1. Platform Engineering & Infrastructure (Media-Focused)
• Design, build, and maintain AI/ML platforms supporting multimodal training, fine-tuning, and inference (video, audio, images, text).
• Implement Infrastructure-as-Code using Terraform, Pulumi, or CloudFormation for reproducible media AI environments.
• Build scalable containerized systems using Docker, Kubernetes, KServe, Triton Inference Server for high-throughput media inference.
• Deploy and optimize GPU clusters for training video models, LLMs, ASR, OCR, and multimodal transformers.
• Manage high-volume media ingest pipelines (FFmpeg, MediaConvert, Azure Video Indexer integrations).
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