Senior Specialist Sa Ai/ml jobs at Amazon in Japan

Key job responsibilitiesAbout the team
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

- 8+ years of progressive experience in sales, business development, consulting, or program/project/deal management
- Exceptional stakeholder management with ability to influence cross-functional stakeholders without direct authority
- Track record of executing complex, high-impact initiatives from conception to completion, with the ability to effectively prioritize and manage multiple projects
- Proven success in high-growth, entrepreneurial environments, showcasing adaptability, resilience, and the ability to thrive in ambiguous situations while delivering results

- Basic proficiency in data analytics (e.g., Tableau, QuickSight, SQL), coupled with strong analytical and quantitative problem-solving abilities

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.As a Support Engineer, you will work with partner teams, user stories, and hardware repair data to drive strategic improvements. You will manage feature and region User Acceptance Testing incoming requests and partner with your team to ensure testing is thorough, defects are properly identified and communicated, and that all documentation maintains high standards. You will stay up to date on applicable data center operation tooling in order to provide impactful feedback on both defects and areas of improvement before features are released. You will work directly with the various service owners and hardware design teams to collaborate on hardware repair workflow instructions. This will include authoring instructions to align with operation capability and ensure clear communication of repair steps. You will be reviewing runbooks and workflow data to collaborate with repair instruction requestors to drive operational improvements and support the needs of specific hardware. You demonstrate excellent judgment when making decisions. You clearly communicate with stakeholders and partner teams. You maintain high standards in documentation and are detail focused.Key job responsibilities
- Complete detailed testing on new features and new region tooling
- Document and communicate necessary changes before feature or tooling release to end users
- Maintain expert understanding of operational repair tooling
- Drive operational efficiency improvements through instruction modifications and creation
- Author repair workflow instructions and make updates
- Review peer authored new instructions to bar raise before release to end users.You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levelsA 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.
Why AWS?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

- Experience troubleshooting and debugging technical systems
- Experience working with device technologies under development, familiarity with flashing firmware, basic device debugging and familiarity with reading/pulling device logs
- Experience troubleshooting & maintaining hardware & software RAID

- Experience scripting in one or more language (e.g. Bash, Python, Perl, Ruby)
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP

Key job responsibilities
• Own and architect critical technical decisions that impact Amazon Photos' long-term success and scalability• Drive innovation in areas such as cloud infrastructure, computer vision, machine learning, and distributed systems• Provide technical leadership across multiple teams, influencing architecture and engineering practices• Partner with senior leadership to define technical strategy and roadmap• Mentor engineers and leaders while raising the technical bar across the organization• Identify and solve complex technical challenges around processing, storing, and serving massive amounts of photo and video content• Champion operational excellence and engineering best practicesOwn and architect critical technical decisions that impact Amazon Photos' long-term success and scalability• Drive innovation in areas such as cloud infrastructure, computer vision, machine learning, and distributed systems• Provide technical leadership across multiple teams, influencing architecture and engineering practices• Partner with senior leadership to define technical strategy and roadmap• Mentor engineers and leaders while raising the technical bar across the organization• Identify and solve complex technical challenges around processing, storing, and serving massive amounts of photo and video content• Champion operational excellence and engineering best practices

• Bachelor's degree and/or Master's degree in Computer Science or equivalent.
• 10+ years experience in building large scale distributed systems

• Experience designing and building large-scale systems in a multi-tiered, distributed environment
• Knowledge of object-oriented design, data structures, and algorithms

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 successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include:
- Prioritize and assign trouble tickets to data center technicians and operators
- Recruit and train data technicians to ensure appropriate staffing levels
- Ensure effective and efficient management of day to day data center operations including queue management, 7/24 shift arrangement and hardware logistics
- Fast learn or act as the subject matter expert across all aspects in data center operations
- Ensure all operational KPIs and metrics are being measured and met- Manage Large Scale Events (outages) and act as the call leader
- Manage and improve the work-flows and through-put for data centers operations
- Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs
- Maintain the on-call schedule coordinating absence and vacations
A day in the life
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

- 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent
- 2+ years of people management experience
- 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience

- Experience in Linux systems administration and/or development
- Knowledge of network design and layout as well as low voltage (copper/ fiber) cabling
- Experience in computer architecture, or experience with general troubleshooting/debugging of hardware
- Experience writing and publishing technical documents or equivalent
- Experience previously in program or project management

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

This role requires a driven leader who can inspire and guide their team to meet the evolving needs of our organization.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
· Lead and supervise a team of Data Center Technicians which is installing, maintaining and decommissioning network and server hardware· Oversee the safety, security, availability, quality, and performance of the team, while driving a positive customer experience· Strategic planning and forecasting; manage team and individual performance; delivering performance reviews, and address staffing needs· Carry out supervisory responsibilities in accordance with the organization’s policies and procedures· Mentor, train and develop career progression for direct reports and members of the organization· Obsess over team learning and development, both from a technical/functional and soft skills (critical thinking, emotional intelligence, and adaptability) development perspective· Coordinate support of change management resources in partnership with electrical and mechanical operations teams· Develop, improve, and share operational best practices across the region and with peers globallyAbout the team
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

· 2+ years of Data Center Operations experience or similar Operations roles
· 2+ years of direct people management experience including performance management such as End of Year Reviews
· Team, organizational and planning skills, as well as stringent time management skills to balance workloads in a complex and dynamic environment
. Driving license valid in EU

· 3+ years of cumulative experience with information technology infrastructure domains such as compute server platforms, storage server platforms, server components, network devices, cabling best practices and IT service delivery principles and best practices· Understanding of critical Electrical, HVAC and control systems.· Appropriate Security and Safety awareness.

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- 1. Degree in Computer Science, Engineering, Mathematics, Technology, or a related scientific/technical field - OR - equivalent training, certifications, and/or experience, regardless of your academic background (0 -2 years)
- 2. Demonstrated ability to adapt to new technologies and learn quickly, even if you don't have prior experience
- 3. Knowledge and/or experiences in AWS services such as EC2, ALB, RDS, VPC, Route53, and S3
- 4. AWS Cloud Practitioner and/or Associate Solutions Architect and/or AI Practitioner Certificate