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- 기술스택
GCPGitJavaScriptDjangoFastAPIKubernetesJavaPython
- 주요업무
• Development and operation of Lunit’s machine learning annotation tool and additional AI platform tools and services software • Develop, optimize, and maintain backend API services • Deploy, configure, and integrate additional third-party backend services like API gateways and authentication services • Write test code and review peers' code for quality and maintainability • Troubleshoot production issues and take initiative to prevent them from recurring • Assisting in and supporting infrastructure management of the same systems • Find and implement additional automation opportunities, and engineering practices to improve the speed of development/deployment and to improve application security, performance, and reliability [Using Tools] • Programming languages / Framework : Python / FastAPI or Django • Infra structure : GCP • Tools : Confluence, Jira, Slack, Git, Github
- 자격요건
• 2+ years of professional experience in server development. • Proficiency in at least one programming language like Python, Java, Kotlin, Javascript or Go. • Understanding of Web Platform technology foundation knowledge ( communication, information security, encryption, hashing, HTTP/HTTPS, etc) • Knowledge of database systems with better hands-on experiences in relational(SQL database) and non-relational(NoSQL) databases. • Proficient in English. • Teamwork skill • Solid OOP and software design and system architecture knowledge. • Understanding of RESTful API design • Understanding of git and using git in development process • Experience in cloud computing environments • Passion for artificial intelligence
- 우대사항
• Experience with Python and Python Web development frameworks like FastAPI, Django, etc. • Experience with Terraform, Docker, Kubernetes, and GCP • Experience troubleshooting production issues • Interest in machine learning and data systems • Proficient in both English and Korean • Bachelor Degree in Computer Science or some equivalent • Knowledge of networking and Linux
- 복지 및 혜택
• 강남역 3번 출구 도보 1분 거리에 위치한 신규 오피스(언덕 없는 평지) • 근무 시 12,000원의 식비 지원(점심,저녁) 및 무제한 간식 제공 • 데스크테리어 비용 30만원 지원 • 최신 사양의 컴퓨터 장비(Mac, 4K 모니터 등)선택, 3년마다 최신형 장비 지원 • 학회 참석, 직무 교육, 도서 구매 지원 • 정규 사내 인공지능/의료 세미나 개최 • 원어민 1:1 영어 교육 프로그램 수강 지원 • 대규모 고품질 인공지능 학습 데이터 및 딥러닝 DevOps 시스템 보유 • 자유롭게 쓸 수 있는 복지 포인트 연간 120만원 지원 • 명절 선물 및 각종 경조사에 대한 경조사비와 경조휴가 지원 • 종합건강검진, 임직원 상해 보험 가입 등의 지원 • 월별 1회 소모임 비용 지원
- 채용절차 및 기타 지원 유의사항
• Document Screening → Competency-based Interview → Assignment → (Online) PT Interview → Culture-fit Interview → Onboarding • All interviews are conducted in English
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Lunit, a portmanteau of ‘Learning unit,’ is a medical AI software company devoted to providing AI-powered total cancer care. Our AI solutions help discover cancer and predict cancer treatment outcomes, achieving timely and individually-tailored cancer treatment. [About team] The AI Platform team mainly provides DataOps and ModelOps solutions for developing AI models that a researcher needs. We focus on managing medical image data for Radiology and Oncology; developing automatic data pipelines and a data management platform for governance; and managing data collection, analysis, curation, medical image rendering, and labeling. We have a strong focus on developing highly efficient and advanced user experiences to ensure data quality and annotation quality for developing high accuracy AI models. To facilitate efficient data labeling for high-quality annotations, we implement DevOps, DataOps, and ModelOps pipeline practices among these platforms to allow the annotators and researchers to semi-automatically and iteratively process and label image samples for model training and development. We also convert, optimize, and productize research models for various supported hardware devices to run AI inference in real-time on patient image data. [ About position] A Backend developer is responsible for designing, creating, and maintaining the server-side codes of our cloud-native data and annotation project management platforms for our researchers, annotators, and medical product managers. Backend developers implement the functions and server-side logic behind the scenes, so their primary responsibility is to build the functions/features of our cloud-based data and annotation applications. The backend developer writes the web services and APIs dealing with data and annotations. They oversee the server-side web application logic as well as the integration of the front-end part. Besides coding the server-side features and logic, they also need to define and maintain the SQL / NoSQL databases. Most important of all is to guarantee stability, security, and responsiveness while under stress loading.