AI/ML Engineer focusing on machine learning applications in oncology. Developing analytical solutions to enhance patient selection and drive next - generation assets in healthcare.
About the role
- 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
- 백엔드 엔지니어를 위한 추론 엔드포인트 설정 경험
Benefits
- 수평적 조직 구조와 진정한 오너십
- 제품 방향성과 합의 기반 의사결정에 전면적으로 참여
- 유연한 근무 형태
- 제품, 데이터, 엔지니어링 전반에 걸쳐 높은 영향력을 가지는 역할
- 업계 최고 수준의 보상 및 성과 기반 보너스
- 글로벌 제품 개발에 참여할 기회
- 다양한 복지 —— 주택 임대 보조, 우수한 회사 구내식당, 야근 식사 제공
- 건강, 치과, 안과 보험
- 본인 및 가족을 위한 글로벌 여행 보험
- 무제한·유연한 휴가 제도
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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