Amazon Walk-in Drive Hiring for ML Data Associate | B.E/B.Tech/Any Degree | 14 & 15 November 2023
Amazon Walk-in Drive: Amazon, one of the world’s largest and most innovative companies, is hosting a Walk-in Drive for the position of ML Data Associate. This is an exciting opportunity for individuals with diverse backgrounds, including B.E/B.Tech and any other degree holders, to join a dynamic and fast-paced work environment.
Amazon is known for its customer-centric approach and cutting-edge technology solutions. As a global e-commerce and cloud computing giant, Amazon offers a wide range of career opportunities across various domains. The ML Data Associate role is particularly significant as it involves working on Machine Learning projects that play a pivotal role in enhancing customer experiences, automating processes, and optimizing operations.
Working at Amazon means being part of a culture of innovation, collaboration, and customer obsession. Employees are encouraged to think big and push the boundaries of what’s possible. As an ML Data Associate, you will have the chance to contribute to projects that leverage state-of-the-art Machine Learning and Artificial Intelligence technologies.
This Walk-in Drive on November 14th and 15th, 2023, is an excellent opportunity to directly interact with Amazon recruiters, showcase your skills, and potentially secure a position with one of the world’s most influential tech companies. If you have a passion for data, machine learning, and want to be part of Amazon’s transformative journey, this event is a must-attend. Join Amazon in shaping the future of e-commerce and technology.
Company Name: Amazon
Company Website: Amazon
Wikipedia: Amazon Wiki
Job Profile: ML Data Associate
Qualifications: B.E/B.Tech/MCA
Batch Eligible: 2020/2021/2022/2023
Work Location: Chennai
Experience Level: 0 – 2 Years
Package: Best In the Industry
Job Description:
We are looking for a Data Associate (DA) to undertake the task of foundational labelling functions, such as dialogue evaluation on speech & text data, to assess and improve Alexas performance in everyday situations.
To effectively change the world, you need to be a bit different – your adaptability, focus, and attention to detail in a constantly shifting environment are unparalleled; you pride yourself on your ability to recognize issues – and come up with elegant and innovative solutions. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. So, an inner drive, individuality, and a creative mind are extremely beneficial.
Role & responsibilities
- Work with a range of text, speech and other types of data.
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using in-house tools and software.
- Report issues with tools and software as and when they occur.
- Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data we process – we believe every ground-breaking change starts with a small idea
Basic Qualifications:
- A graduate in any field of study. Quantitative fields such as science and engineering are preferred but not mandatory
- Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
Preferred Qualifications:
- Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
- Flexibility and Interest to do repetitive tasks is required
- 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
Note: Please ignore if you have already attended the assessment/interview for the same role in the last 6 months.
Walk In Time and Venue:
- 14th November – 15th November
- 9.30 AM – 12.00 PM onwards
- Amazon Development Centre India Pvt Ltd, Infinity Towers, Ramanujan IT City, Rajiv Gandhi Salai, Near Tidal Park, Old Mahabalipuram Rd, Taramani, Chennai, Tamil Nadu – 600113. Google Maps Link: https://goo.gl/maps/Ttxta3ed9CuE7xwD6
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