Applied Scientist Paid Services Jci Data Science jobs at Amazon in Japan

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
The Head of Construction will be responsible for:
• Hiring and developing new Construction Managers. Coach, mentor, and lead a large Construction Management team (20+ builders, including people managers).
• Strategic and tactical management of construction capacity delivery within their region.
• Communicate and provide guidance to Finance during the development and execution of capital budgets.
• Coordinate with various teams supporting the data center development and launch.
• Develop and manage metrics quantifying performance across North Asia Construction.
• Coordinate with Business Development on land and facility acquisition.
• Manage the safety, speed, cost, and quality of the data center deliverable.Additionally, Head of Construction should possess the following abilities:
• Ability and drive to learn our Data Center technology and construction process
• Ability and willingness to think creatively and build innovative solutions to reduce cost and duration with no impact on quality and reliability.
• Ability to perform complex business case analysis to justify the project scope and present the justification to management in a high-level review.
• Possess clear written and verbal communication skills and ability to use data to justify conclusions and show return on investment (ROI) in both English and Japanese.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.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

- 12+ years leading development and construction of Data Center projects and/or critical infrastructure projects.
- Bachelor's degree and/or relevant professional licenses in Construction Management, Pre-Construction Management, or related fields.
- Experience in the design and scale of large construction organizations including directly managing teams and budgets.

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

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

GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.Key job responsibilities
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

- Japanese fluency, Business English
- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
- Experience directly managing scientists or machine learning engineers

AWS インフラストラクチャサービス (AIS)AWS インフラストラクチャサービスは、AWS のグローバル インフラストラクチャ全体の設計、計画、提供、運用を担当しています。つまり、クラウドを安定的に稼働させ続けるのが私たちの役割です。AWS のデータセンター、サーバー、ストレージ、ネットワーク、電力、冷却装置など、すべてのインフラを包括的にサポートし、お客様が必要とするイノベーションへの継続的なアクセスを確保しています。私たちは、サプライチェーンに影響を及ぼす数千もの変数を含む複雑な課題に日々取り組んでおり、この挑戦に共に立ち向かう優秀な人材を求めています。AWS Infrastructure Services (AIS)
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.アマゾン ウェブ サービス (AWS) は急速な成長を続けており、拡大するインフラストラクチャ運用チームの一員として、データセンター エンジニアを募集しています。Key job responsibilities
In this role as a Data Center Engineer, you will be responsible for the on-site management of hardware lifecycle of our IT infrastructure that includes:
● Working as part of the Operations team; whose primary responsibility is the maintenance and upkeep of the data center infrastructure.
● Your role and responsibilities include, but are not limited to, installing server racks, removing server racks, fixing various IT hardware and network components, and also responding to emergent situations that affect operations.
● Meet customer service level agreements by resolving problems, and be the first line touch point for hardware troubleshooting and technical issues.
● Perform on-call duties and participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
● Participate in team meetings for metric analysis and to discuss achieving daily/weekly goals.
● Have the knowledge of the policies and procedures, including safety and security, within your department, and understand the appropriate application of such knowledge.
● Contribute to documentation on technical issues through root cause analysis for operational issues that occur, and contribute to process improvement initiatives relevant to the data center environment.
● More experienced engineers may assist in training less experienced members of the team.* オペレーションチームの一員として、データセンターインフラの保守・維持を主な責務とします。
* 業務内容には、サーバーラックの設置・撤去、各種ITハードウェアやネットワーク機器の修理、運用に影響を及ぼす緊急事態への対応などが含まれます。
* 顧客とのサービスレベル契約を遵守し、ハードウェアのトラブルシューティングや技術的課題に関する第一次対応窓口を担当します。
* オンコール対応を行い、データセンター運用に携わるとともに、定期メンテナンスや変更管理作業を通じてインフラの監視を実施します。
* メトリクス分析および日次・週次目標の進捗確認のためのチームミーティングに参加します。
* 部門内の安全性やセキュリティを含むポリシーと手順を理解し、適切に実践します。
* 運用上の問題に対する根本原因分析を通じて技術文書の作成に携わり、データセンター環境の改善施策に貢献します。
* 経験豊富なエンジニアは、必要に応じて経験の浅いチームメンバーの指導を行います。A day in the life
● You will support Data Center infrastructure equipment (e.g. racks, servers, networking devices, hardware components, cables, etc.)
● You will follow the instructions ticket-based environment and work on systematic problem resolution and perform routine operation activities on hardware, or spare parts, including installing and removing server racks and fixing server hardware.
● You will perform on-call duties and will participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
● Show a strong aptitude for troubleshooting and problem solving.
● You will be involved with site management and maintain tidiness in operation areas.
● Work in a rotating shift with a team of other engineers. Your standard shift hours are 10 hours with a one hour break. You work on 4 days work shifts and 3 days off in the week. Your standard work hours are 8:00-18:00, 12:00-22:00, 22:45-08:15.* データセンターのインフラ機器（ラック、サーバー、ネットワーク機器、ハードウェア部品、ケーブル等）の保守管理を行います。
* チケットシステムに基づき、サーバーラックの設置・撤去やサーバーハードウェアの修理など、ハードウェアや部品の日常的な運用作業を体系的に実施します。
* オンコール対応を含め、データセンターの運用に携わり、定期メンテナンスや変更管理作業におけるインフラ監視を行います。
* 高度なトラブルシューティングと問題解決能力を発揮します。
* サイト管理に参画し、運用エリアの5S（整理・整頓・清掃・清潔・躾）を徹底します。
* 他のエンジニアチームと交代制シフトで勤務します。シフトは1日10時間（休憩1時間含む）、週4日勤務・週3日休みの体制です。勤務時間帯は8:00～18:00、12:00～22:00、22:45～08:15のいずれかとなります。About the team
Diverse Experiences
Amazon 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.
Why AWS
AWS が選ばれる理由
Work/Life BalanceMentorship and 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.

● No experience in data centers is necessary, only a desire to learn. We provide all of the training.● Ability to work non-standard hours such as 10 hour shift with 1 hour break (You work on 4 days work shifts and 3 days off in the week. Your standard work hours are 8:00-18:00, 12:00-22:00, 21:45-08:15.● データセンターでの経験は不問です。学ぶ意欲のある方を歓迎します。必要な研修は全て当社で実施いたします。● 変則的な勤務時間に対応可能な方（10時間勤務・1時間休憩、週4日勤務・週3日休み） 勤務シフト：8:00～18:00、12:00～22:00、21:45～08:15

● 1+ year of networking, server, other IT experience.● IT分野（ネットワーク、サーバー管理など）での実務経験が1年以上ある方

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.

In this position, you will be expected to research, design and build/train/tune models and provide recommendations in areas including but not limited to natural language processing (automatic translation, summarization, extraction) and image processing (boundary detection, image understanding, image generation).
Key job responsibilities
As an Sr. Applied Scientist, your responsibilities will be:- Work closely with other Books scientists and engineers to build, review and improve your model design proposals.
- Keep up to date with scientific development in related field

- PhD, or Master's degree and 5+ years of building machine learning models for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl

- PhD in computer vision, natural language processing or equivalent quantitative field
- PhD in engineering, technology, computer science, machine learning
- Business level Japanese language skills