דרושים Proserve Account Executive Professional Services ב-אמזון ב-יפן

Key job responsibilities
Use machine learning and statistical techniques to create scalable catalog abuse detection solutions that identify listing violations, selling partner integrity, and content manipulationInnovate with the latest GenAI technology to build highly automated solutions for efficient catalog monitoring, content verification, and automated listing complianceLearn, explore and experiment with the latest machine learning advancements to protect selling partner trust and integrityA day in the life
You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.

- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

The Intern will be responsible for:
- Prototyping and testing concepts or features
- Tracking progress of task deliverables
- Developing and maintaining design documentation
- Presenting information to managers and engine

- Are 18 years of age or older
- Knowledge of SolidWorks simulation or Ansys Finite Element analysis tools
- Currently working towards a Bachelor’s, Master's or Doctorate Degree in Mechanical Engineering.
- Solid understanding of principles, theories and concepts in mechanical engineering

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Key job responsibilities
Develop AI solutions for various Prime Video Recommendation and Personalization systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;Work closely with applied scientists, engineers and product managers to design, implement and launch AI solutions end-to-end;Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;Stay up-to-date with advancements and the latest modeling techniques in the field;

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with large scale machine learning system or application

- 4+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- Experience with building large scale recommendation system
- Experience with building large scale recommendation system

Key job responsibilities
EXPERTISE· Possesses a deep knowledge of project management best practices and how to apply them in an effective yet pragmatic way across large, complex projects.
· Understanding of technology principles and services including infrastructure, business applications, data management, security, application platforms and consumer facing technology.COMMUNICATION
· Interfaces with various customer and internal AWS stakeholders which consists of senior leadership teams (C-level execs, SVP/VP, Directors) and project level resources such as SMEs.
· Demonstrates the ability to understand the operating styles of others as well as team/client relationships, team dynamics, and adjusts behavior accordingly to succeed.
· Excellent presentation, communication (oral & written), and relationship building skillsTEAMING
· Team player who effectively integrates, motivates and builds relationships with cross-functional team members (local or remote), sponsors, key stakeholders, executives, and other individuals or organizations involved with or affected by the project.
· Excellent people management skills, including the ability to influence, negotiate and achieve results through others who are not direct reports
· You be required to travel to client locations when needed.
A day in the life
About AWSDiverse 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

- 2+ years of leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale experience
- 7+ years of leading and delivering enterprise-level IT engagements experience
- Bachelor's degree in STEM field
- Knowledge of the value proposition of the public cloud and cloud engagement delivery (IaaS, PaaS, SaaS)
- Experience in leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale
- Experience in leading and delivering enterprise-level IT engagements

- 5+ years of delivering customer engagements in a professional services role experience
- active project management certification (e.g., APM, CSM, PMI-ACP, PRINCE2)
- AWS certification
- Experience in delivering customer engagements in a professional services role
- Experience with Agile and project management toolsets like Jira, Rally, VersionOne or Taiga
- Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent

AWS Professional Services SRC チームは、セキュリティ戦略とロードマップの構築、アーキテクチャ設計と実装サポート、技術評価、インシデント対応、セキュリティコントロール実装サポートなど、さまざまな顧客エンゲージメントを提供できるセキュリティコンサルタントを求めています。AWS の営業、エンジニアリング、トレーニング、認定チーム、サポートチーム、およびパートナーと協力して、お客様が AWS でのセキュリティビジネスの成果を確実に達成できるよう、技術支援を提供します。これには、プリセールスの機会への貢献、顧客のセキュリティとコンプライアンス要件の理解、顧客エンゲージメントにおけるセキュリティソリューションの提案と提供が含まれます。これらの契約には、アーキテクチャやコンプライアンスのロードマップ、セキュリティガイドライン、セキュリティギャップ評価、セキュリティアーキテクチャと設計のレビュー、セキュリティ制御とサービスの実装につながる短期間のオンサイトまたはリモートプロジェクトが含まれます。As an Associate Security Consultant, you have consulting, technology management, or service operations experience in the field of Cyber Security. You have experience in the design/implementation in multiple areas of Cyber Security, such as Identity and Access management, Infrastructure Security, Data Security, Application Security or Incident Detection and Response. You’ve been hands-on as a software developer, system administrator, network engineer, or systems architect and have experience collaborating with larger delivery teams or other IT and Cyber Security professionals. You have an good technical understanding of Cloud and IT systems and are familiar with the advantages of commercial cloud, zero-trust architectures, secure software development practices, and application of advanced technologies.This role requires effective verbal and written communication skills, strong attention to detail, and the ability to work backwards from ambiguous requirements to distill vast amounts of information into clear, concise communications. The right candidate is data-driven, comfortable working effectively in a fast-paced, entrepreneurial environment, and is adaptable managing priorities and working effectively across a number of internal stakeholders. This role involves frequent engagement with both customer’s technical and business stakeholder and a candidate who can effectively influence multiple internal and external teams and is viewed as a trusted advisor.

and applications, enterprise application migrations, HPC amongst many others.
A day in the life
About AWSDiverse 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

- 7+ 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
- Experience developing software code in one or more programming languages (java, python, etc.)
- Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language)

- Experience implementing AWS services in a variety of distributed computing environments
- Experience in automation through devops scripting (e.g. shell, python, ruby, powershell)
- Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments

and applications, enterprise application migrations, HPC amongst many others.Diverse 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

- 10+ years of technical specialist, design and architecture experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- 5+ years of continuous integration and continuous delivery (CI/CD) experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language)

- 5+ years of consulting, design and implementation of serverless distributed solutions experience