דרושים Delivery Consultant- Genai/ml & Data Science ב-אמזון ב-United States, Santa Monica

Every day will bring new and exciting challenges on the job while you:* Provide field support to resolve inquiries from Enterprise customers regarding AWS service or Cloud.
* Complete analysis and present periodic reviews of operational performance to customer
* Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning
* Ensure AWS environments remain operationally healthy whilst reducing cost and complexity
* Foster trusting relationships with customers, understanding their business needs and technical challenges
* Lead technical discussions with senior leadership regarding incidents, trade-offs, and risk management
* Work directly with AWS global engineering and service teams to resolve customer issue.TAM 으로서 여러분은 대기업 고객 (ICT, 제조, 운송, 에너지 산업 등) 이 EC2, RDS, ECS/EKS, GenAI, 보안/거버넌스 등 다양한 AWS 서비스를 도입 및 사용할 수 있도록 전략의 수립 및 이행을 지원하게 됩니다. 기술적 및 고객 응대 역량을 발휘하여 고객사 환경 내에서 AWS를 효과적으로 대표하고 사고/장애, 트레이드 오프 및 리스크 관리에 대하여 시니어 리더십과의 논의를 주도합니다. 표준적인 방법론을 활용하여 솔루션 기획, 빌드에 있어 전략/기술적 방향성 및 변론을 제공하고, 고객의 AWS 운영 환경을 양호하게 유지하기 위해 적극적으로 개입합니다. 고객과 긴밀한 협력 관계를 구축하여 고객의 비즈니스/운영상의 필요와 기술적 해결 과제를 파악하고 AWS에서 최대한의 가치를 실현할 수 있도록 보조합니다.우리 팀에서는 IT 아키텍팅 및 운영 (OS/미들웨어/DB/네트워크 관리, 고객센터 시스템/어플리케이션 관리 등 유관 분야) 에 해박한 배경지식을 지닌 후보자를 찾고 있습니다. Enterprise Support 가 고객에게 가치를 제공함에 있어 TAM으로서 중점적 역할을 맡아 혁신의 최전선에서 함께 하고싶은 분이라면 누구나 환영입니다.여러분은 다음과 같은 직무를 수행하며 매일 새롭고 가슴 뛰는 도전을 하게 될 것입니다:* 현장 지원을 통해 AWS 서비스 및 클라우드 관련한 기업 고객의 요청/문의 해결
* 운영상의 퍼포먼스에 대한 완전한 분석 및 주기적 검토 결과를 고객에게 제공
* 서비스 중단, 지표 및 구체적인 론칭 전 계획에 대한 자세한 검토 수행
* 비용 및 복잡성을 낮추는 동시에 AWS 환경이 운영상 양호한 상태를 유지하도록 보장
* 고객과 신뢰관계를 구축하고 고객의 비즈니스 니즈 및 기술적 해결과제를 파악
* 사고/장애, 트레이드 오프 및 리스크 관리와 관련하여 시니어 리더십과 기술적 논의를 주도
* AWS 글로벌 엔지니어링 및 서비스 팀과 직접 협력하여 고객 이슈 해결A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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.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* 해당 직무는 Korea Enterprise Support 팀 소속입니다. Enterprise Support팀은 아마존 웹 서비스(AWS) 내에서 가장 빠르게 성장하고 있는 조직 중 하나로 산업 부문이나 규모를 막론하고 모든 고객사가 AWS로부터 최선의 가치와 서비스를 제공받을 수 있도록 지원합니다. AWS Enterprise Support 팀에서는 컴퓨트, 스토리지, 데이터베이스, GenAI, 애플리케이션 레벨 서비스, 네트워킹, 서버리스 등 다양한 테크놀로지 영역 전반에서 고객의 혁신을 함께할 Technical Account Manager (TAM)을 채용 중입니다. TAM은 세일즈 직무가 아니며, 주요한 기술 고문이 될 수 있는 기회로서 스타트업에서 대기업에 이르기까지 디지털 전환의 여정을 이제 막 시작한, 또는 이어 나가고 있는 다양한 규모의 고객에게 ‘고객의 목소리’가 되어줄 수 있습니다.

- 7+ years of experience in IT system architecture, implementation, operations, and consulting, with a focus on distributed applications.
- Experience working for enterprise IT companies or with mission-critical enterprise business customers.

- Experience with operating and troubleshooting in at least three of the following areas: compute, storage, networking, CDN, databases, DevOps, big data and analytics, security, or application development in a distributed systems environment.
- Fluent business communication skills in English.
- Bachelor’s Degree in Computer Science, Math, or related discipline required, or equivalent work experience.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.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.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.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.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Key job responsibilities
This role focuses on language data, primarily in the areas of editing, writing, and general data analysis deliverables. The AI Content Writer must be capable of:
- Editing high-quality and engaging copy
- Understanding how people use language to convey meaning
- Delivering high-quality work under tight deadlines
- Translating established guidelines into daily work practices
- Working autonomously with minimal direction
The ideal AI Content Writer:
- Possesses strong copy-editing and writing skills
- Is curious to know how Alexa can answer so many questions
- Exhibits extreme attention to detail
- Utilizes excellent communication and organizational skills
- Demonstrates willingness to support several projects at one time
- Adapts quickly to keep up with changing project conventions and new projects
A day in the life
As a AI Content Writer, you are responsible for editing, writing, researching, and delivering high-quality data for internal and external customers. You will learn and master workflow guidelines to hit deadlines in a fast-paced environment.

- Bachelor's degree
- 1 year of work experience
------------------------------------------------------------------

We are building new products in this space with scaling requirements to support 10s of million business operations in a day across thousands of FCs. We are looking for SDEs who are passionate to build large-scale, multi-tiered, distributed software solutions. You will be empowered to think big, invent and simplify on behalf of our stakeholders and customers, and find elegant solutions to hard problems. You will be influencing other engineers and tech partners in the team to solve multi-region critical complex business features.Key job responsibilities
As a Software Engineer you will be expected to:
• Design and develop creative solutions to complex engineering problems.
• Effectively mentor junior engineers, helping to maintain appropriate unit test coverage, code documentation, software structure and support
• Own and deliver end to end key initiatives, maintaining effective communication with management and stakeholders
• Identify, evaluate and suggest mitigation strategies for risks during design
• Contribute to system design, process and development standards documentation
• Delivering high quality code on time as part of a cross-functional team.
• Contributing to team discussions around system component design, improvement and integration.
• Designing and developing high performance, test-driven code.
• Working with and maintaining a large existing code base as well as new components; maintaining production code and contributing to deployment and QA processes.
A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
External Fulfillment

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
This role focuses on language data, primarily in the areas of editing, writing, and general data analysis deliverables. The Sr. Machine Learning Data Associate must be capable of:
- Editing high-quality and engaging copy
- Understanding how people use language to convey meaning
- Delivering high-quality work under tight deadlines
- Translating established guidelines into daily work practices
- Working autonomously with minimal direction
The ideal Sr. Machine Learning Data Associate:
- Possesses strong copy-editing and writing skills
- Is curious to know how Alexa can answer so many questions
- Exhibits extreme attention to detail
- Utilizes excellent communication and organizational skills
- Demonstrates willingness to support several projects at one time
- Adapts quickly to keep up with changing project conventions and new projects
A day in the life
As a Sr. Machine Learning Data Associate, you are responsible for editing, writing, researching, and delivering high-quality data for internal and external customers. You will learn and master workflow guidelines to hit deadlines in a fast-paced environment.

- Bachelor's degree
- 1 year of work experience
------------------------------------------------------------------

Key job responsibilities
This role focuses on language data, primarily in the areas of editing, writing, and general data analysis deliverables. The Sr. Machine Learning Data Associate must be capable of:
- Editing high-quality and engaging copy
- Understanding how people use language to convey meaning
- Delivering high-quality work under tight deadlines
- Translating established guidelines into daily work practices
- Working autonomously with minimal direction
The ideal Sr. Machine Learning Data Associate:
- Possesses strong copy-editing and writing skills
- Is curious to know how Alexa can answer so many questions
- Exhibits extreme attention to detail
- Utilizes excellent communication and organizational skills
- Demonstrates willingness to support several projects at one time
- Adapts quickly to keep up with changing project conventions and new projects
A day in the life
As a Sr. Machine Learning Data Associate, you are responsible for editing, writing, researching, and delivering high-quality data for internal and external customers. You will learn and master workflow guidelines to hit deadlines in a fast-paced environment.

- Bachelor's degree
- 1 year of work experience
------------------------------------------------------------------