MLOps Engineer focusing on transforming language models into effective applications for global impact. Collaborating with diverse teams to innovate AI solutions in a hybrid work environment.
Responsibilities
오픈소스 모델을 효율적으로 실행·관리하고, 비용과 신뢰성을 최적화
GPU, CPU, 메모리 리소스 전반에서 높은 성능과 안정성 확보
모델 추론을 모니터링 및 트러블슈팅하여 낮은 지연 시간과 높은 처리량 유지
엔지니어와 협력해 확장 가능하고 신뢰성 있는 모델 서빙 솔루션 구현
Requirements
vLLM, HuggingFace TGI 등의 모델 서빙 플랫폼 사용 경험
Kubernetes, Ray, Modal, RunPod, LambdaLabs 등을 활용한 GPU 오케스트레이션 경험
트래픽 수요에 따라 지연 시간·비용을 모니터링하고 시스템을 효율적으로 확장할 수 있는 능력
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