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Senior MLOps Engineer — Scalable AI Infrastructure
Job Description & How to Apply Below
The Institute of Foundation Models (IFM) is seeking a Senior MLOps Engineer to design, build and maintain robust ML infrastructure across training, inference, and deployment pipelines. You will own the model lifecycle—from data ingestion to real-time serving—ensuring LLM/voice models are deployed securely and reproducibly in Kubernetes-based environments.
You will work with AWS, EKS, Helm, ArgoCD, and modern MLOps tool chains, collaborating with researchers to productize TTS, ASR, and LLM-based
#J-18808-LjbffrPosition Requirements
10+ Years
work experience
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