ML Data Associate-II is Hiring Amazon | Any Graduate

 

Company Name: Amazon

Role:  ML Data Associate-II

Qualifications:  Degree/ Masters Degree 

Experience: 0-2 years of work experience with demonstrated task execution ability

Work Location:   Karnataka

Requirements: 

• Bachelor’s or Master’s degree preferred

• 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)

• Candidate must demonstrate language proficiency in all the following: verbal, writing, reading and comprehension at minimum B2 level in the CEFR framework

Job Responsibilities:

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

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