דרושים Sr Generative Ai Strategist Innovation Center ב-אמזון ב-סינגפור

The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the- art solutions for never-before-solved problems.As a Deep Learning Architect, you will
About the team
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.
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

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Key job responsibilities
- Ensure success in building and migrating and modernizing applications, software and services onto the AWS platform
- Build repeatable mechanisms, architectures, solutions, and playbooks to enable faster, cheaper, predictable, and risk-free workload migrations to AWS
- Technology Breadth: demonstrate architectural best practices applied across a breadth of technologies to solve organizational problems, articulate views/roadmaps for future development, and understand the interaction between infrastructure, operations, and development.About 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 specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of software development tools and methodologies
- Experience working with end user or developer communities
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients

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 Delivery Ops PM Intern, you will drive process improvement initiatives such as mechanism reviews, building reporting/dashboards and drafting project proposals to optimize our core tools/systems including engaging with our customers to understand their painpoints.
Key job responsibilities
• Assist in project management data validation and data clean up across a large volume of critical infrastructure projects in the system of record
• Gather business and functional requirements and translate the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture
• Analyze large amounts of data, discover and solve real world problems, and build metrics and business cases to help business teams to make decisions
A day in the life
About the team
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

“WARNING: Choking Hazard — small parts. Not for children under 3 years.”“WARNING: This product can expose you to chemicals including antimony trioxide, which are known to cause cancer or birth defects or other reproductive harm.”Key job responsibilities
A day in the life
- Hiring and mentorship: Help build a two-pizza team from scratch, ensuring high standards for engineering excellence to influence SDEs in the years to come- Deeply understand technical decisions, influence long-term architecture
- Work closely with international stakeholders across our VP-level Trustworthy Shopping Experience org, in addition to TPM and PM-T

- 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

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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, security and quality 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
Business Analytics
• Translate basic business problem statements into analysis requirements
• Communicate analysis and work with business stakeholders to understand its value and propose changesBusiness Intelligence
• Developing audit and compliance mechanisms to ensure the data integrity
• Write queries and output efficiently
• Convert data to make it analysis- ready through basic descriptives, aggregations, and pivots
• Implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks)
• Gathering data across APAC to support reporting, including scope, schedule, budget, resources, quality and risk management, reporting and metric development/trackingOperational Excellence
• Identify gaps, measure inefficiencies/impact, propose actions, measure success and iterate
• Identifying gaps and creating system SOPs to drive efficiencies and reduce level of efforts (LOEs) on repeating and overlapping data entries, eliminate non-value-add activities, removing blockers, and driving automation
• Building metrics on Dashboard for KPI and Key Value Drivers reporting to drive better performance internally and externally
• Liaising with APAC, AMER and EMEA counterparts to drive global alignmentA day in the life
You will use data and anecdotes to tactically drive internal customers to manage project risks (safety, quality, time and cost) globally. You will use your knowledge and experience to develop dashboards. You will apply business acumens to develop actionable insights and simplifying reporting to peers and the leadership to drive better business outcomes. You will need to have the backbone to tell the business what is slowing us down backed with data analysed. You will partner peers to develop solutions that enable the business to be agile and adaptable to deliver high quality builds with consistency.
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 program or project management experience
- Knowledge of SQL at an intermediate level, including: compile queries, subqueries, aggregation/grouping, data modification, etc.
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
- Experience communicating complex business concepts in verbal and written form

But at best, WiFi is like death by a thousand cuts: dead zones, painful setup, embarrassing passwords, equipment that’s a major eyesore. At worst, it's a complete failure -- usually right when you need WiFi most.
The Role:
What you'll do:
- Be the primary quality representative for supplier quality activities
- Perform First Article Inspections (FAI) to make sure samples comply with drawings and specifications prior to production start or after any changes
- Own implementation, validation and continuous monitoring of supplier’s IQC, IPQC and OQC to ensure proper process FMEA, quality control plans, SOPs, SIPs, operator/inspector training, equipment and documentation are implemented and followed
- Determine strategies for continuous improvement in supplier quality and supply chain metrics.
- Manage supplier's corrective actions system (investigation, documentation and implementation of corrective action and the verification of their effectiveness)
- Conduct supplier audits including new supplier selection and regular process/product audits to existing suppliers, and effectively drive findings closures by proposing and implementing necessary CAPA- Take lead process capability assessment, measurement system analysis, MSOP & correlation and SPC implementations at supplier site
- Initialize the review and approval for supplier PPAP
- Contribute to final product release activities in accordance with established procedures, production schedules and gate exit requirements
- Develop and prepare documentation, post reports, drive quality metrics and communication- Track issue and task progresses in JIRA and understand BOM components, layout and drawings with a PLM system (i.e. Arena, Agile, etc.)

- - BS/MS degree in Quality/Electrical/Mechanical Engineering
- - 5+ years of experience in mechanical parts (plastic injection molding/die-casting/stamping/machining), packaging, and AC power supplies.
- - 5+ years of experience in all levels of quality management and lean manufacturing in mechanical, electro-mechanical and electronic supplier manufacturing industries
- - Experience in managing outsourced manufacturing suppliers
- - Experience with industry standards (IEC, UL, ASTM, ANSI, TUV, ISO, IPC, MIL, etc.)
- - In-depth understanding and implementation experiences in APQP, FMEA, SPC & Process capability, MSA, PPAP, DOE, data analysis, hypothesis testing etc.
- - Excellent English communication skills and interactions with suppliers and customers, both written and verbal

- - Ability & willingness to travel as required for up to 50%
- - Certified QMS lead auditor
- - Certified CQE
- - Certified CSSGB or CSSBB
- - Solid experience in SMT, DIP, FATP, FPC/FPCA and surface treatment process
- Effective document/procedure writing, presentation and project management skills

About the team
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.
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

- 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