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[CC CTO] Machine Learning Engineer

커넥트웨이브 · 서울특별시 금천구 벚꽃로 298 대륭포스트6차 17층

📅 24/08/2026
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1. 상품 데이터 이해 • 서로 다른 판매처의 동일 상품을 판별하는 Entity Matching / Entity Resolution 모델 개발 • 상품명, 상세 설명, 이미지, 스펙에서브랜드, 제조사, 모델명, 카테고리, 속성값 추출 및 정규화 • 카테고리 오분류, 비정상 가격, 잘못된 속성, 저품질 상품 등 데이터 결함 탐지 • 텍스트, 이미지, 정형 속성을 결합한 멀티모달 상품 표현 학습 2. 검색 품질 • 상품 표현과 속성, 품질 시그널을 검색에 적용 • Query Understanding, Retrieval, Ranking 단계의 품질 문제 분석 및 개선 • BM25, 벡터 검색 등 후보군 생성 방식의 조합 및 평가 3. 추천 및 개인화 • 상품 표현을 활용한 연관 상품, 유사 상품 추천 모델 개발 • 사용자 행동 데이터 기반 개인화 모델 설계 및 검증 4. LLM 및 멀티모달 응용 • 상품 데이터 가공, 리뷰 요약, 상품 정보 생성 등에 LLM, VLM 적용 • 파인튜닝, Synthetic Data 생성, Distillation을 통한 비용 및 품질 관리 • 카탈로그 운영 및 사내 업무 자동화 과제의 모델 적용 5. 모델 평가 및 운영 • 평가 데이터셋 및 평가 기준 설계 • LLM 기반 레이블 생성과 전문가 검수를 결합한 데이터 파이프라인 구축 • 학습, 검증, 배포, 추론, 모니터링 흐름 구축 • 처리량, 지연시간, 추론 비용, 안정성 최적화 • 데이터 및 모델 드리프트 감지와 재학습 체계 구축
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