Developer Advocate Generative Ai Aws Experience jobs at Amazon in India

Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes.Key job responsibilities
Execute test cases prepared for testing Software builds on the Kindle platform and Kindle software products.
• Perform test case execution and report bugs accurately
• Understand testing procedures and guidelines for new builds / releases.
• Perform regression and repetitive testing exercises to qualify builds without compromising on quality
• Use software tools for data capture on a daily basis
• Be comfortable with capturing results, communicating and escalating failures and providing individual status reportsA day in the life
Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes.About the team
Quality Services (QS) organization provides testing support for Devices, Retail and AWS products. The primary objective of QS organization is to provide manual testing support. An Associate, Quality Services performs manual test execution of documented task instructions. They produce accurate test results meeting daily targets, adhering to defined processes.

- Knowledge of QA methodology and tools
- Knowledge of QA methodology and tools
- - - Graduate, preferably in a quantitative field of study with relevant exp of 0- 1 years· Familiarity using computer and software Experience using any gadgets or devices Good communication skills, detailed oriented and be a team player Capability to follow defined processes and adhere to policies

- Understanding about software testing · Ability to complete assigned tasks accurately and promptly

Key job responsibilities
- Develop and maintain PFMEA and control plans throughout the life cycle of a process. Use PFMEA to identify potential failures, their effects, and implement preventive actions.- Own disposition of defective equipment by developing metrics and maintain a quarantine cage.- Drive the resolution of issues identified.- Manage the process/product quality audit program. Document audit findings and ensure proper corrective actions are taken.- Manage change management requests and obtain approvals from appropriate stakeholders.- Serve as the primary quality contact on the production floor. Communicate relevant quality-related details at the start and end of each shift.- Assist in and facilitate process improvement initiatives, providing subject matter expertise and support.- Assist in the roll-out of new processes and equipment by performing quality inspections and trial runs.- Own and develop standard policies and procedures for processes within operations. Ensure SOPs are up-to-date and followed consistently.A day in the life- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- 4+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience
- Bachelor's degree

- Experience working with and managing third party vendors
- Experience with Six Sigma, lean manufacturing

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.The position responsibilities will include scaling support of several data center locations of ADSIPL in India and be responsible for day-to-day assistance with capacity management. The Network Technician will work closely with both internal customers of ADSIPL and external vendors to facilitate smooth project execution as directed by Technical Program Managers.The ideal candidate should be highly autonomous, very detail oriented, possesses strong written and verbal communication skills and has significant experience in supporting large scale, enterprise class networks. Excellent network implementation and troubleshooting skills combined with a proven documentation methodology is also required. Strong written and verbal communication skills and an ability to interact efficiently with peers and customers are required. The desire and ability to work in a fast paced, collaborative environment is essential. In addition to providing top-tier management and support of Amazons vast network infrastructure, Network Technicians are expected to build or enhance tools, develop best practices, refine operational procedure and constantly think proactively and innovativelyKey job responsibilities
As ID Network Technician key responsibilities will include following :
1. Leads multiple concurrent projects by coordinating
project activities, communicating withand resolving unmet dependencies through
engaging with external stakeholders.
2. Estimate project requirements in terms of time, cost and resources
3.Participate in the installation, migration, basic configuration and rollout of new or upgraded hardware.4. Troubleshoot network or physical component issues as needed during deployment.
5. Communicate with stakeholders and share regular updates.
6. Up to 20% travel may be required
application interaction
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
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.

- 1+ years of computer networking experience
- 1+ years of Linux operating systems experience
- Bachelor's degree in Information Technology, Computer Science, or a related field
- Experience in computer networking
- Experience working with Linux operating systems
- Can lift and rack equipment up to 40 pounds
- Experience with computer hardware troubleshooting and repair

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months, requiring flexibility to work in rotational shifts.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, stricly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvementsA day in the life
We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

- Bachelor’s degree in a relevant field or equivalent professional experience
- 2+ yrs of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time
- Ability to effectively write and evaluate diverse subject matter across various domains*
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
- Experience with creating complex data for LLM training and evaluation
- Strong understanding of U.S.-based culture, society, and norms.
- Comfortable with high-school level STEM*
- Familiarity with common markup languages such as HTML, XML, Markdown
- Familiarity with common standard text formats such as JSON, CSV, RTF
- Working knowledge of Python or another scripting language
- Familiarity with regular expressions syntax
- Familiarity with Large Language Models
- Comfort in annotation work that may include sensitive content

- 1+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages

- Experience working with Tableau
- Experience using very large datasets

Join us in revolutionizing the future of Living Room device testing at Prime Video. Living Room Device Services (LRDS) enables automated testing across 800+ living room device types globally through our Device Farm infrastructure, providing programmatic control and remote access for Amazon teams worldwide. You'll develop AI-powered tools and AWS-based solutions that simplify test debugging, device access, and performance evaluation across our distributed device ecosystem.You'll be at the forefront of building solutions for our Device Farm - a unique and sophisticated platform that enables automated testing across more than 800 devices across the hyper fragmented Living Room EcoSystem.Your impact will extend beyond just writing code - you'll be the bridge between our Device Farm customers and innovation, gathering valuable feedback and transforming it into enhanced features. Working with AWS technologies, you'll orchestrate a robust ecosystem of physical devices and virtual emulators, ensuring Prime Video delivers exceptional experiences to our Living Room Customers.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language

- 3+ 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

Key job responsibilities
The ideal candidate for this role has strong experience in designing and developing scalable high-performance systems and services that are flexible, reliable, and maintainable. You have excellent problem-solving skills, a solid understanding of computer science fundamentals, and a customer-focused mindset. You take pragmatic and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams. You will build services to handle billions of requests per day, while maintaining response latencies in the milliseconds and meeting strict SLA requirements. Our systems and algorithms operate on one of the world's largest product catalogs and it is quite routine for our systems to operate on massive datasets using distributed frameworks.A day in the life
Utilize strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. You will need to Think Big for continuous planning and use mechanisms that scale to meet the broad and diverse needs of teams across Amazon. You'll employ customer obsession serving customers' needs , continually improving experiences and productivity.

- 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
- Bachelor's degree in computer science or equivalent

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience