דרושים Senior Ai/ml Consultant - Global Accounts Professional 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

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

AWS Global ServicesKey job responsibilitiesSell consulting engagements – that can span from short on-site projects proving the value of AWS services to massive cloud migration projects that include the movement of thousands of applications and the automation of the cloud infrastructure to house them.
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

· Highly technical and analytical, progressive technology implementation experience
· Excellent customer relationship management, sales, delivery experience and collaboration skills
· Consulting practice leadership
· Deep understanding of infrastructure-as-a-service (IaaS) cloud computing transition challenges
· Native level of Japanese fluency and business-level English proficiency are required

· Meets/exceeds Amazon’s functional/technical depth and complexity for this role
· Visible IT Industry thought leadership on relevant topics related to enterprise IT infrastructure
· Vertical industry sales and delivery experience of contemporary services and solutions in Automotive or Financial Services
· Experience with design of modern, scalable delivery models for technology consulting services
· Use of AWS services in distributed environments with Microsoft, IBM, Oracle, HP, SAP etc.

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:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
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

- Bachelor’s degree required
- 10+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc.
- Hands-on technical practitioner and individual contributor
- Hands-on experience working on the design, development and deployment of contact center solutions at scale

- Computer Science, Information Systems, or Engineering background preferred; Master’s degree desired
- 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms
- Professional Services or Consulting experience in highly-visible customer-facing roles
- Familiarity with Amazon Connect capabilities, benefits, and required deployment skills
- Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure.
- Enterprise call center / telecomm implementation and operations experience
- Experience implementing and optimizing AI-powered customer service solutions
- Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning
- Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and 3rd party AI services
- Software Development / DevOps experience with integrating contact center platforms, CRMs, and WFMs
- Use of AWS services in distributed environments with Microsoft, IBM, Citrix, VMware, Oracle, HP, etc.
- Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations
- Responsibility for designing, implementing and operating contact centers or telecommunication infrastructures within an enterprise environment
- AWS Certified Machine Learning Engineer – Associate, AWS Certified Machine Learning - Specialty and/or AWS Certified AI Practitioner

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

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

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