Amazon is inviting dynamic and motivated individuals to attend a Walk-in Drive for the position of ML Data Associate in Chennai. This is an excellent opportunity for fresh graduates as well as candidates with up to 3 years of experience to start or advance their career with one of the world’s most innovative and customer-centric companies. As an ML Data Associate, you will play a key role in supporting machine learning projects by working with data to improve and optimize systems that power Amazon’s cutting-edge technology. Amazon offers a collaborative work environment and provides opportunities for growth and learning, along with a competitive salary and benefits package. The walk-in interview will be held on 24th January from 10:00 AM to 2:00 PM at the Chennai location. If you are passionate about technology and eager to be part of a global leader in e-commerce and cloud computing, don’t miss this chance to be a part of the Amazon team!
About Company:
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’s evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company’s DNA. The world’s brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
Job Details:
Job Role: ML Data Associate
Qualification: Bachelor’s degree in any field of study
Experience: 0 – 3 Years
Salary/CTC: 3 – 5.5 LPA
No of Openings: 1
Walk-in Date: 24 January , 10.00 AM – 2.00 PM
Mode of interview: Walkin
Work Location: Chennai
Job Description:
Kindly note the role is for 12 months contract and with Rotational shifts. All 5 days Mandatory to work from Office.
Job Description :
- Maintain and follow strict con4fidentiality guidelines
• Work with a wide range of different types of data including but not limited to text, audio, speech, image, and video
• Deliver high-quality labelled data, utilizing in-house tools, software and guidelines to meet our Key Performance Indicators with a commitment to foster the safe, responsible, and effective development of AI technologies
• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos
• Demonstrate analytical and critical thinking capabilities while evaluating different forms of data and making decisions.
• Logical decision making while preforming tasks that may include ambiguous information
• Be agile to transition to diverse labelling workflows while paying close attention to details
• Demonstrate expertise in handling end-to-end data execution process related to labelling the tasks and be less dependent on work instructions
• Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
• Highlight process challenges in SOP, tools and suggest changes as required
• Demonstrate high judgement to balance process adherence and take ownership to analyze and provide resolutions
Basic qualifications
- A bachelor’s degree in any field of study
- 0-3 years of work experience with demonstrated task execution ability
- Ability to effectively research, comprehend and evaluate diverse subject matter across various domains
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential This will be 100% onsite role which may require flexibility in work schedule.
Preferred qualifications
Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension at minimum B2 level in the CEFR framework Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Exposure to US culture, prior experience in Machine learning domain will be an added advantage
Willingness to multi-task
Excellent computer skills with good typing speed (> 50 wpm and above)
How to Apply for Amazon Walkin Drive ?
All interested and eligible candidates can apply for this drive online as soon as possible by using official link given below.
| Amazon Off Campus Drive – Important Apply Link |
| Apply For This Job |