דרושים Qae Ii Aws Supply Chain ב-אמזון ב-India, Chennai

- 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

Part of the team, you will invent, design and develop end-to-end products to make book creation experience simpler and high quality.
Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to customers.
• Design and implement system architecture and underlying components. Establish design principles, select design patterns, and instill best practices for software development across multiple teams
• Anticipate bottlenecks, make trade-offs, and balance the business needs versus technical constraints.
• Work in an agile, startup-like environment to deliver high-quality software.

- 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

Overview of the role
The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Selling Partner Return Reduction space. This will require collaboration with Product, Science and Engineering teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements.
Key job responsibilities
• Collaborate and propose best in class ML/LLM solutions for business requirements
• Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap
• Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques
• Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
• Communicate technical concepts to stakeholders at all levels
• Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments
• Familiar with ML/LLM models and able to work independently.

- Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)
- 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms
- Strong hands-on programming skills in Python, SQL. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
- Strong analytical thinking
- Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills
- Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations.

- Master's degree with specialization in ML, NLP or Computer Vision preferred
- 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis)
- Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics

Alexa is revolutionizing how people interact with technology through ambient computing, with voice as the cornerstone interface. At Alexa Communications, we're creating the future of seamless integration between Alexa and mobile devices, transforming how people connect and communicate in their daily lives.This position is within the Alexa Communications team, developing core software components that bridge the gap between Alexa and smartphone ecosystems. You'll work with domain experts and software engineers to deliver key features that enable intuitive, context-aware communication experiences across platforms.Key job responsibilities
Help shape our product and technology strategy for creating a unified communication ecosystemDefine features that enable seamless integration between Alexa and mobile devicesArchitect solutions that support rich, contextual communication experiencesDrive best practices for building intelligent, anticipatory communication featuresContribute to developing advanced connectivity solutionsSuccess in this role requires exceptional technical expertise, strong fundamentals in Computer Science, and experience building large-scale distributed systems. You should be passionate about complex system software, customer-centric solutions, and creating reliable, scalable, and high-performance services that bridge devices and platforms.

- 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

As a Quality Assurance Engineer (QAE), you will work with product managers and developers to plan solid test strategies, write and execute tests that validate new improvements to our systems. Test automation is integral part of your work. Working within frameworks created to support our team, you will develop and implement automated test suites. You test code at the user level, both manually and with automated tools. Our QA Engineers are not pure black box testers; they test at the appropriate level and are able to understand software internals, debug problems using log files, and write automated tests to test at UI and/or API level. You'll look for key metrics that show the areas of strategic test value, weed out inefficiencies in our team's development and testing processes, and work with SDEs, Product Managers, and QA peers to deliver quality software products.

- Experience in automation testing
- Experience in manual testing
- Experience as QA lead on medium to large sized projects
- Experience working as a Quality Assurance Engineer

- Experience with at least one automated test framework like Selenium or Appium
- Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality

As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models.Key job responsibilities
• Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements
• Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap
• Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry
• Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
• Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments.
• Familiar with ML models and work independent.
• Mentor Junior Research Analyst (RAs) and contribute to RA hiring

- • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)
- • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms
- • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
- • Strong analytical thinking
- • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills
- • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations.

- • Master's degree with specialization in ML, NLP or Computer Vision preferred
- • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis)
- • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics

Key job responsibilities
• Develop and Maintain: Play a key role in the development and maintenance of Java-based applications leveraging AWS services (ECS, SQS, S3, DynamoDB), ensuring our architecture supports scalable, maintainable, and high-quality solutions.
• Collaborate for Success: Work closely with product managers, UX designers, and engineers. Your contributions will be crucial in creating optimal customer experiences and steering technology choices.
• Coach and Guide: Provide guidance and feedback to help maintain high coding standards and practices. Your efforts will contribute to the growth and development of our engineering team.
• Solve Problems: Address complex issues within a well-understood technology strategy. You'll balance business needs with technical solutions to ensure scalability and future growth.
• Uphold Best Practices: Your contributions will not only address problems efficiently but also adhere to and promote best practices within the team.
• Learn and Grow: You'll have opportunities for continuous learning and contributing to the team's strategy and goals, fostering an inclusive and growth-oriented environment.

- 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
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- AWS and Java Skills: Proficiency in DynamoDB, ECS, SQS, SNS, S3, and comfort with CI/CD automation.
- Search Engine Experience: Experience with search engines (ideally Solr), enhancing our customers' discovery journey.
- Open Source Involvement: Familiarity with open-source tools (Git, SpringMVC, SpringBoot, Maven, Gradle, Ant, JUnit, Jenkins) to help us innovate.