6 Alexa Jobs

About the Role We are looking for Quality Assurance Engineer with 4+ years of experience to join our Quality Assurance team and work with key stakeholders in the organization such as AI and robotics engineers, User Experience designers, product managers and technical program managers to define and implement quality engineering solutions for new features and products ensuring the highest quality of product delivery. Responsibilities Development of test strategies and creation, execution and verification of test plans via manual testing methodologies for the area of ownership which includes voice and conversation experience, human robot interaction, child focused activities and games. Working alongside the engineering and product teams to maintain and enhance manual and automation test suites to fix bugs and implement new features and modules. Simulate real-world deployments of the products, reproduce customer issues, and perform root cause analysis. Defining and validating quality guidelines and processes for testing and releasing software to production Communicating with multiple teams and coordinating testing efforts and own software quality Requirements 3+ years of experience working as a Quality Assurance Engineer Expertise in application quality and testing methodologies Experience with some or all testing methodologies: black box, white box, performance, security, integration and UAT. Experience with cross-platform mobile app development tools, technologies and mobile app operating systems - Android, iOS or other mobile platforms Hands-on experience in UI automation, API testing and should have knowledge in any one programming language preferably Java or Python. Good exposure for testing voice commands and Knowledge of conversational AI. Exposure to smart applications like Alexa or Google will be an added advantage Experience with wireless consumer electronics devices, smart devices, IoT devices is an added plus. Experience with child-focused products, applications and games is added plus

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide, Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP, Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension Required language level: B2 2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Haryana Job ID: A3033842 Show

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide, Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP, Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension Required language level: B2 2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Haryana Job ID: A3033849 Show

As a Senior SDET at our company based in Chennai, you will be expected to have a minimum of 4 years of experience in Automation Testing. You must possess expertise in various technologies such as Python, JavaScript, BDD/Behave, REST API, Postman, Selenium, Selenium Grid, Pytest framework, Jira, TestRail, and GitHub. It is essential that you have hands-on experience in REST API, Postman, and UI automation testing including cross-browser testing. Additionally, familiarity with IoT technologies like MQTT and knowledge of voice controllers such as Alexa and Google Home will be considered a plus. You should also have experience in developing a Test Automation framework from scratch. The ideal candidate should have a strong background in both Manual Testing and a minimum of 5 years of relevant experience in Automation Testing. Experience in integrating automation scripts into Jenkins (CI/CD) pipelines will be an added advantage. Proficiency in Test Life Cycle Management and Agile Methodologies is highly desirable. Moreover, experience with Appium or similar tools for Mobile automation will be beneficial for this role. If you meet these requirements and are an immediate joiner, we would like to hear from you.,

About The Role. We are looking for Quality Assurance Engineer with 2+ years of experience to join our Quality Assurance team and work with key stakeholders in the organization such as AI and robotics engineers, User Experience designers, product managers and technical program managers to define and implement quality engineering solutions for new features and products ensuring the highest quality of product delivery.. Responsibilities. Development of test strategies and creation, execution and verification of test plans via manual testing methodologies for the area of ownership which includes voice and conversation experience, human robot interaction, child focused activities and games.. Working alongside the engineering and product teams to maintain and enhance manual and automation test suites to fix bugs and implement new features and modules.. Simulate real-world deployments of the products, reproduce customer issues, and perform root cause analysis.. Defining and validating quality guidelines and processes for testing and releasing software to production. Communicating with multiple teams and coordinating testing efforts and own software quality. Requirements. 3+ years of experience working as a Quality Assurance Engineer. Expertise in application quality and testing methodologies. Experience with some or all testing methodologies: black box, white box, performance, security, integration and UAT.. Experience with cross-platform mobile app development tools, technologies and mobile app operating systems Android, iOS or other mobile platforms. Perform functional and linguistic testing to validate grammar, spelling, punctuation, cultural nuances, and translations.. Test UI/UX elements for truncation, alignment, and overall readability in the localized language.. Evaluate voice AI, speech recognition, and text-to-speech (TTS) outputs for pronunciation accuracy and natural fluency.. Collaborate with content, development, and speech engineering teams to resolve localization issues.. Execute test cases and exploratory testing for localized features, ensuring cultural relevance in the target market.. Identify, document, and report localization defects, providing detailed feedback for improvements.. Hands-on experience in UI automation, API testing and should have knowledge in any one programming language preferably Java or Python.. Good exposure for testing voice commands and Knowledge of conversational AI.. Exposure to smart applications like Alexa or Google will be an added advantage. Experience with wireless consumer electronics devices, smart devices, IoT devices is an added plus.. Experience with child-focused products, applications and games is added plus.

We are looking for a skilled professional with hands-on experience in developing conversational AI solutions, including virtual agents and NLP-based applications. Key Responsibilities: Experience in development of virtual agents (Chatbots, Voicebots) and natural language processing Experience working with one or more AI/NLP platforms Cognigy AI, DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson etc. Knowledge of one or more of the following technologies: Typescript, JavaScript, Node.js Experience in training Chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Good problem-solving ability Qualifications: Experience in building end-to-end pipelines for developing AI-based conversational applications Strong understanding of API integrations, single sign-on (SSO), and token-based authentication Hands-on experience with Postman for API testing, automation, and debugging Knowledge of CI/CD pipelines (ex: Bamboo, Bitbucket) with end-to-end automation Ability to develop unit test cases in line with project-specific standards Proficient in working with HTTP, sockets, REST, and other web services Skilled in extracting keywords and topics from chat logs Preferred Qualifications: Familiarity with Chatbot tool Cognigy AI Experience working on Generative AI and Agentic AI Experience in Typescript, NodeJS Familiarity with Sprinklr Tool.