Artificial Intelligence Engineer

근무지: 본사 (정규직)모집인원: 2명 소속: 기업부설연구소 (연구원 / 선임연구원 / 책임연구원 / 수석연구원)주요 업무 (What You’ll Do)최신 LLM (대규모 언어모델) 기반의 AI 서비스 설계, 개발, 운영학습 데이터셋 구축, 전처리 및 관리LLM 파인튜닝(Fine-tuning) 및 성능 최적화자체 LLM 학습·배포·모니터링·유지보수Multimodal AI / 생성형 AI 연구 및 제품 개발RAG (Retrieval Augmented Generation) 시스템 설계 및 최적화AI 서비스 환경(서버·클라우드) 배포 및 관리MLOps 파이프라인 구축 및 자동화 자격 요건 (Qualifications)AI, 머신러닝, 딥러닝 분야 석사 이상 학위자AI 모델 성능 평가 및 검증 방법론 이해LLM 관련 연구 및 개발 경험 보유자체 모델 운영·관리 경험MLOps 구축 및 운영 능력Python, PyTorch, TensorFlow 기반 개발 역량프레임워크 전반에 대한 이해 우대사항 (Preferred)Transformer, Diffusion Model 등 최신 AI 아키텍처에 대한 깊은 이해AI 모델 경량화(Quantization, Pruning 등) 및 최적화 경험강화학습, NLP, 컴퓨터 비전 등 AI 핵심 분야 전문성AI/ML 분야 박사 학위자MLOps 툴(Mlflow, Kubeflow 등) 활용 경험LangChain, LlamaIndex 등 LLM 애플리케이션 프레임워크 활용 경험제출 서류이력서경력기술서 (필수)포트폴리오 (필수)Company DescriptionJLT is a South Korea-based leader in industrial automation, specializing in robotic vision systems, factory automation, and AI-driven solutions for EV battery disassembly. Our core innovations, like the laser vision sensor (LVS), enable precise welding and real-time quality inspection at an affordable cost. JLT is at the forefront of advancing sustainable manufacturing with AI-powered tools for resource-efficient EV battery recycling. As we expand globally, we are committed to redefining smart manufacturing with cutting-edge technologies and strategic collaborations.Role DescriptionThis is a full-time hybrid role for an Artificial Intelligence Engineer with JLT, located in Incheon, South Korea, with some flexibility for remote work. The role involves researching, designing, and developing AI solutions, as well as applying machine learning techniques such as pattern recognition and neural networks to optimize robotic automation processes. The engineer will contribute to software development, improve natural language processing (NLP) capabilities, and support innovation in AI applications for manufacturing and EV battery systems.QualificationsExpertise in Pattern Recognition and Neural NetworksStrong foundation in Computer Science and Software DevelopmentProficiency in Natural Language Processing (NLP) technologiesExperience with AI and robotics applications in manufacturing is a plusBachelor's or Master's degree in Computer Science, Engineering, or a related fieldProblem-solving skills, adaptability, and ability to work in a hybrid work environmentAI Developer – Corporate R&D CenterEmployment Type: Full-time (Permanent) Openings: 2 positions Department: Corporate Research Institute (Research / Senior / Principal / Lead Researcher)Key ResponsibilitiesDesign, develop, and operate AI services based on LLMs (Large Language Models)Build, preprocess, and manage AI training datasetsPerform LLM fine-tuning and performance optimizationManage in-house LLM model training, deployment, monitoring, and maintenanceConduct research and development on Generative AI and Multimodal AI technologiesDesign and optimize RAG (Retrieval-Augmented Generation) systemsDeploy and manage AI service environments (on-premise and cloud)Build and automate MLOps pipelines for efficient AI operationsQualificationsBachelr’s degree or higher in AI, Machine Learning, or Deep Learning–related fieldsStrong understanding of AI model evaluation and validation methodsHands-on experience in LLM research and developmentExperience managing in-house or self-hosted LLM modelsProven ability to build and operate MLOps processesProficiency in Python, and familiarity with frameworks such as PyTorch or TensorFlowUnderstanding of major AI frameworks and deployment architecturesPreferred SkillsDeep understanding of latest AI architectures (e.g., Transformer, Diffusion Model)Experience in AI model optimization (Quantization, Pruning, etc.)Expertise in Reinforcement Learning, Computer Vision, or Natural Language ProcessingPh.D. in AI/ML or related fieldExperience using MLOps tools (MLflow, Kubeflow, etc.)Familiarity with LLM application frameworks (LangChain, LlamaIndex, etc.)Required DocumentsResume / CVCareer or Technical Description (Mandatory)Portfolio (Mandatory)