Delivery Consultant, AIML, Professional Services Korea
공고 요약
원티드담당업무
고객의 비즈니스 요구를 파악하고 AWS AI 서비스, 플랫폼, 프레임워크 및 EC2 인스턴스를 활용한 솔루션 제안
AI/ML 및 생성형 AI 프로젝트의 요구사항 파악, 데이터 취합·탐색, 예측 모델 구축·검증·배포까지 수행
MXNet, Caffe 2, TensorFlow, Theano, CNTK, Keras 등 딥러닝 프레임워크를 활용한 모델 구축 지원
SparkML 및 Amazon Machine Learning을 활용한 머신러닝 모델 구축 지원
Amazon Bedrock 및 생성형 AI 도구를 활용한 애플리케이션 구축 지원
빅데이터 컨설턴트와 협업해 데이터 분석·추출·정규화·라벨링
DevOps 컨설턴트와 협업해 모델 운영화 지원
모델 드리프트 식별 및 재학습 지원
고객 대면 업무 및 고객사 방문 출장
자격요건
클라우드 기반 아키텍처 및 클라우드 서비스 지식
고객 대면 역할 경험
AI/ML 모델의 구축·학습·프로덕션 배포 경험
TensorFlow, PyTorch, MXNet, Keras 등 딥러닝 프레임워크 경험
SQL, Spark, Pandas 등 데이터 처리·분석 도구 및 클라우드 AI/ML 플랫폼 경험
지원방법
기업 사이트에서 지원
보상
지원자 합격보상금 현금 50만원
마감기한
상시채용
아마존 지원하기 전 이력서 Check
시간이 없다면 AI와 한번에 수정해보세요
공고 원문
소개
At Amazon Web Services (AWS), we're hiring highly technical cloud computing architects to help our customers develop technical expertise and capacity, while also collaborating with our customers and partners on key engagements. Our consultants will deliver Pilot projects, topical workshops, and lead implementation projects. Professional Services engage in a wide variety of projects for customers, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer.
주요업무
• Understand the customer's business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances. • Assist customers by being able to deliver a AI/Ml and GenAI project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. • Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models. • Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models. • Use Amazon Bedrock and various GenAI Tools to help customers build GenAI Applications. • Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. • Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built. • Assist customers with identifying model drift and retraining models. • This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed.
자격요건
• Knowledge of cloud based architecture, cloud services and experience in customer facing roles • Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field • 5+ years of experience in AI/ML, including building, training, and deploying machine learning models in production environments • 3+ years of experience with deep learning frameworks such as TensorFlow, PyTorch, MXNet, or Keras • Experience with data processing and analysis tools (e.g., SQL, Spark, Pandas) and cloud-based AI/ML platforms
우대사항
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems • Master's degree in computer science, machine learning, engineering, or related fields, or PhD • Experience with AWS AI/ML services such as Amazon SageMaker, Amazon Bedrock, or Amazon Machine Learning • Experience building and deploying Generative AI applications, including LLM-based solutions, RAG architectures, or agentic AI systems • AWS Machine Learning Specialty Certification or AWS Solutions Architect certification (AWS Machine Learning Specialty)
혜택 및 복지
자세한 사항은 홈페이지 참조
