Amazon. com strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon.com continues to grow and evolve as a world-class e-commerce platform.

Amazon hiring fresher graduates for the role of  Software Engineer – ML Data Associate.

Job Designation : Software Engineer – ML Data associate

Salary : Upto 3 LPA

Qualification :  Bachelor’s Degree

Experience : Freshers / 0 – 1 year

Skill Set : 

1. Good knowledge of software products.
2. Proficeint knowledge in Microsoft Office products and applications.
3. Good knowledge of cloud platforms AWS.
4. Familiar with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc.
5. Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system.
6. Passion for language, technology, and AI advancements.
7. Flexibility and Interest to do repetitive tasks is required.
8. High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential.
9. Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated.
10. Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
11. Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously.

Job Description :

The Bedrock team is a team of data linguists and associates who primarily support the training of different models in the AWS generative AI platform. We are specialized in text-based data annotation, writing for ML model training, and toxic content evaluation. Some of the aspects of ML development that the Bedrock team works with include Responsible AI, Reinforcement Learning from Human Feedback, Supervised Fine Tuning, and Human Content Evaluation. Our team represents a great array of experience in the field of linguistics, including sociolinguistics, computational linguistics, conversation analysis, syntax-semantics, linguistic typology, ESL and foreign languages, as well as translation.

1. Build a thorough understanding of data collection and annotation guidelines and various annotation tools.
2. Annotate text data, identifying linguistic categories based on detailed annotation and adhering to guidelines.
3. Perform annotation related tasks; you participate in data generation, collection and quality assurance tasks.
4. Diving deep into issues and implement solutions independently.
5. Collaborate with ML Data Associates (L3) and Team Managers (TMs) to deliver high quality data annotations.

location : Bengaluru, Karnataka, India