About Amazon
Amazon is a globally recognized company and a pioneer in e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded by Jeff Bezos in 1994, Amazon started as an online bookstore and has since expanded its business to include a vast array of products and services. With its headquarters in Seattle, Washington, Amazon has grown to become one of the most influential companies worldwide, boasting a commitment to customer satisfaction, innovation, and operational excellence.
Amazon’s core principles include customer obsession, passion for invention, operational excellence, and long-term thinking. The company strives to be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices.
Job Details
| Company Name: | Amazon |
| Job Role: | ML Data Associate I (VLM) |
| Location: | Chennai, India |
| Job Type: | Full-Time |
| Application Deadline: | Ongoing |
| Selection mode: | Virtual |
Skills and Qualifications Required
- Educational Background: A bachelor’s degree in any relevant field. While a degree in computer science, information technology, or a related discipline is preferred, Amazon values skills and experience over specific educational qualifications.
- Technical Skills:
- Proficiency in Microsoft Excel, including pivot tables, VLOOKUPs, and other data analysis tools.
- Basic knowledge of machine learning concepts and data handling techniques is advantageous.
- Familiarity with tools like Python, SQL, or similar programming languages is a plus.
- Soft Skills:
- Strong analytical skills with attention to detail.
- Excellent communication skills, both verbal and written.
- Ability to work in a team environment and manage time effectively.
- Adaptability and a willingness to learn and grow within the organization.
Responsibilities of the Employee
As an ML Data Associate I (VLM) at Amazon, your responsibilities will include:
- Data Annotation: Labeling and annotating data for machine learning models.
- Data Quality Control: Ensuring the accuracy and consistency of data inputs and outputs.
- Data Analysis: Assisting in the analysis of large datasets to identify patterns and insights.
- Collaboration: Working closely with cross-functional teams to support ongoing machine learning projects.
- Reporting: Preparing reports and documentation to communicate findings and progress to stakeholders.
- Process Improvement: Contributing to the development and improvement of data processing workflows.
Required Documents for Application
Candidates must submit the following documents as part of their application:
- Resume/CV: Supported formats are .doc, .docx, .pdf, and .txt; maximum size is 3 MB.
- Photo: Supported formats are .png, .gif, .jpeg, and .jpg; maximum file size is 4 MB.
- PAN Card: Mandatory for successful registration.
- E-Aadhaar Card: Required for employment processing.
Candidates will also need to provide:
- All Relieving Letters: From previous employers.
- Educational Documents: Provisional degree certificate and consolidated mark-sheet memo.
Why Join Amazon?
- Innovation and Growth: Amazon is at the forefront of technological innovation. By joining Amazon, you’ll be part of a company that is constantly pushing the boundaries of what’s possible.
- Career Development: Amazon invests heavily in employee development. You will have access to extensive training programs, mentorship opportunities, and a career path that encourages growth and advancement.
- Inclusive Culture: Amazon is committed to diversity and inclusion, ensuring that every employee feels valued and included. The company’s mission of “Everyone valued. Everyone included. Everyone performing at their peak” speaks to its dedication to a supportive work environment.
- Dynamic Work Environment: Amazon offers a fast-paced, dynamic work environment where your contributions are recognized and rewarded.
- Competitive Benefits: Amazon provides a comprehensive benefits package that includes health insurance, retirement plans, paid time off, and more.
How to Apply
Ready to start your DevOps career with Oodles Amazons? Apply now through TrendXYZ. Our platform is dedicated to helping you find the best opportunities and guide you through your career path.
| APPLY LINK: | CLICK HERE |
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