Delivery Consultant, AIML, Professional Services Korea at Amazon SZ South 3 GmbH

Seoul, , South Korea -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Computing, AI Services, AI Platforms, AI Frameworks, Deep Learning, Predictive Models, Data Analysis, Machine Learning, GenAI Applications, Big Data, DevOps, Model Drift, Data Aggregation, Data Exploration, Model Deployment, Model Validation

Industry

Software Development

Description

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. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. 모집분야 Amazon Web Services (AWS)에서는 고객이 전문지식 역량을 개발할 수 있도록 돕고, 이를 위해 파트너와 협력할 수 있는 뛰어난 기술역량을 갖춘 클라우드 아키텍트를 채용하고 있습니다. AWS의 컨설턴트들은 아키텍쳐 검토와 파일럿 개발, 주제별 워크샵, 그리고 프로젝트를 통한 딜리버리를 담당하게 됩니다. 프로페셔널 서비스팀은 다양한 프로젝트를 통해 축적한 경험을 바탕으로 고객의 성공을 돕습니다. 또한, AWS 내부 다른 조직과 협력하여 제품과 서비스, 그리고 적절한 해결책을 고객에게 제공하고 고객 요구 사항에 따라 혁신을 추진합니다. Key job responsibilities Key job responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: 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. 프로페셔널 서비스팀은 데이터를 심층 분석하여 그 원리를 발견하고 장기 솔루션 설계를 경험해보신 분들을 채용하고자 합니다. 새로운 것을 배우고, AI 기술 혁신에 관심이 있는 분들을 대상으로 하며 주요 업무는 아래와 같습니다. 고객의 사업적 니즈를 이해하고 AWS AI 서비스, 플랫폼, 프레임워크 및 AWS AI EC2 인스턴스를 사용하여 솔루션을 찾습니다. 고객의 AI/Ml 및 GenAI 프로젝트를 지원을 위해 사업 니즈 이해, 데이터 집계, 데이터 탐색, 예측 모델 구축 및 검증, 완료된 모델 배포를 수행합니다. MXNet, Caffe 2, Tensorflow, Theano, CNTK 및 Keras와 같은 딥 러닝 프레임 워크를 사용하여 고객이 DL 모델을 구축하도록 지원합니다. SparkML 및 Amazon Machine Learning (AML)을 사용하여 고객이 ML 모델을 구축 할 수 있도록 지원합니다. Amazon Bedrock 및 다양한 GenAI Tool 을 사용하여 고객이 GenAI Application을 구축 할 수 있도록 지원합니다. 프로페셔널서비스팀의 빅 데이터 컨설턴트와 협력하여 관련 데이터를 분석, 추출, 정규화 및 레이블링합니다. 프로페셔널서비스팀의 DevOps 컨설턴트와 협력하여 고객이 모델을 구축 한 후 운영 할 수 있도록 지원합니다. 고객이 모델 드리프트를 식별하고 모델을 재교육하도록 지원합니다 A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. 고객을 대면하는 역할이며, 필요에 따라 전문적인 서비스 제공을 위해 고객을 방문해야 할 수 있습니다. About the team About the team AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. The Professional Services team at AWS is responsible for assisting enterprise customers as they shift to the cloud by incorporating our services into their overall architecture. We work hand-in-hand with customer teams and AWS partners to provide deep expertise in the architecture, design, development, and implementation of cloud computing initiatives that result in real business outcomes. As part of our team, you’ll accelerate the adoption of our products all while advocating for the success of our customers. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. #aws-korea-proserv-ap #AWSKOREA Basic Qualifications: - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments Preferred Qualifications: - 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Responsibilities

The Delivery Consultant will assist customers in understanding their business needs and guide them to solutions using AWS AI services. They will deliver AI/ML and GenAI projects from start to finish, including data aggregation, model building, and deployment.