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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
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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.
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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
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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
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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
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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
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Key job responsibilities
Key job responsibilities
• Ability to architect and design right solutions starting with broadly defined problems
• Provide technical mentorship/leadership to other engineers
• Drive best practices and engineering excellence
• Development of code in object oriented languages like Java and C++.
- Bachelor's degree in computer science or equivalent
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
These jobs might be a good fit

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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
These jobs might be a good fit