Amazon Recruitment 2023 | 0-3 Exp of Bachelors Degree | Apply

Amazon Careers Opportunities for QA Analyst/ML Data Associate. Bachelors Degree Candidate can apply for the post.

Complete details are given below:-

• Company – Amazon
• Roles – QA Analyst/ML Data Associate
• Qualifications -Bachelors Degree
• Location -Chennai/ Hyderabad/ Gurgaon
• Work Experience -0-3
• Salary – 2.5 – 4.5 LPA

ABOUT THE COMPANY

Amazon is a multinational technology company and one of the world’s largest online retailers. Founded by Jeff Bezos in 1994, Amazon started as an online marketplace for books and rapidly expanded to offer a wide range of products, including electronics, apparel, household items, and more. Today, Amazon operates numerous business segments, including e-commerce, cloud computing, digital streaming, and artificial intelligence. The company is known for its customer-centric approach, fast and reliable delivery services through Amazon Prime, and its innovative products such as the Amazon Echo and Alexa virtual assistant. With a vast global presence, Amazon has transformed the retail industry and continues to shape the technology landscape with its diverse portfolio of services and products.

Job Responsibility For QA Analyst Role

• Test Planning and Strategy: Collaborating with the development team and other stakeholders to understand project requirements and define test objectives and strategies. Developing test plans, test cases, and test scenarios to ensure comprehensive test coverage.
• Test Execution: Performing functional, regression, integration, and performance testing to validate software functionality, performance, and reliability. Executing test cases and documenting test results.
• Defect Identification and Reporting: Identifying and documenting software defects or issues through systematic testing and defect tracking processes. Reporting defects to the development team and working closely with them to ensure timely resolution.
• Test Automation: Developing and executing automated test scripts using testing frameworks and tools. Identifying opportunities for test automation and implementing automated testing processes to improve efficiency and effectiveness.
• Test Environment Setup: Collaborating with system administrators and other team members to set up and maintain test environments, including hardware, software, and network configurations. Ensuring test environments accurately reflect production environments.

Job Responsibility For ML Data Associate Role

• Data Collection and Annotation: Collecting and curating data from various sources to build high-quality training datasets. This may involve searching, scraping, and cleaning data, as well as labeling or annotating data to create ground truth for machine learning algorithms.
• Data Validation and Quality Assurance: Verifying the accuracy, completeness, and integrity of data to ensure it meets the required standards. Conducting quality checks and performing data validation to identify and address any inconsistencies or errors.
• Data Preprocessing and Transformation: Preparing data for machine learning tasks by cleaning, normalizing, and transforming it into appropriate formats. This may involve data cleaning, feature engineering, and data augmentation techniques to enhance the quality and suitability of the data for ML models.
• Data Analysis and Exploration: Analyzing and exploring data to identify patterns, trends, and insights. Conducting exploratory data analysis (EDA) to understand data characteristics and relationships, and generate insights that can guide the development of ML models.
• Model Evaluation and Performance Metrics: Assisting in evaluating the performance of ML models by measuring key metrics such as accuracy, precision, recall, and F1 score. Comparing and analyzing different models to assess their effectiveness and make recommendations for improvements.

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Skills Required For The Post

• Data Management: Strong proficiency in data management, including data collection, organization, cleaning, and preprocessing. Familiarity with tools and techniques for handling diverse datasets.
• Data Analysis: Proficiency in data analysis techniques, such as exploratory data analysis (EDA) and data visualization. Ability to derive meaningful insights from data and identify patterns or trends.
• Programming and Scripting: Proficiency in programming languages commonly used for data manipulation and analysis, such as Python or R. Knowledge of SQL for data querying and manipulation.
• Machine Learning Concepts: Familiarity with machine learning concepts, algorithms, and techniques. Understanding of supervised and unsupervised learning, feature engineering, model evaluation, and performance metrics.
• Quality Assurance (QA) Principles: Understanding of QA principles, methodologies, and best practices. Familiarity with software testing processes, including test planning, test case design, execution, and defect tracking.

HOW TO APPLY FOR AMAZON 2023 ?

To apply for the Amazon Recruitment 2023 interested candidates must follow the procedure outlined below:

• Click on the “Apply here” button provided below. You will be redirected to the company official career page.
• Click on “Apply Online”.
• If you have not registered before, create an account.
• After registration, login and fill in the application form with all the necessary details.
• Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
• Provide accurate information in your application.
• Verify that all the details entered are correct.
• Submit the application process after verification.

INTERESTED CANDIDATES CAN APPLY THROUGH THE BELOW LINK

ROLE- Quality Assurance – Analyst (Chennai Location)

ROLE- ML Data Associate-I (Hyderabad Location)

ROLE- Quality Assurance Engineer (Gurgaon Location)

Amazon 2023 – Frequently Asked Question ?

What is the Amazon selection process?

The selection process will be based on a Written test followed by Technical and Hr interviews.

What is the Amazon salary for freshers?

The average of 2.5 – 4.5 LPA is based on the reports of Glass door and Ambition Box.

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Disclaimer

The Recruitment Information Provided above is for Informational Purposes only . The above Recruitment Information has been taken from the official site of the Organization. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company. We don’t charge any fee for providing this job Information.