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ML Data Associate At Bangalore ( Full-time ) Amazon

ML Data Associate II | ₹ 3.5-4.5 Lacs P.A. As an ML Data Associate II at Amazon in Bangalore, you may artwork inside the Bedrock crew, specializing in textual content...
Posted in Blog   •   Jobs
2024-08-16
ML Data Associate At Bangalore ( Full-time ) Amazon

ML Data Associate II | ₹ 3.5-4.5 Lacs P.A.

As an ML Data Associate II at Amazon in Bangalore, you may artwork inside the Bedrock crew, specializing in textual content facts annotation and linguistic evaluation to assist AWS generative AI. Your position includes annotating statistics, resolving ambiguities, and contributing to gadget enhancements. You will collaborate with language engineers and statistics stakeholders to ensure exquisite records and powerful version education. Your responsibilities will consist of developing language artifacts, helping institution techniques, and supporting pre-screening interviews.

Role: ML Data Associate II 

Location: Bangalore

Work Type: Full-time

Company: Amazon

Experience: From 1 to 3 years of experience

 Salary: ₹ 3.5-4.5 Lacs P.A.

Company Profile

Amazon is a worldwide leader in e-trade and era, recognized for its large choice, low prices, and incredible comfort. Amazon is devoted to being Earth’s maximum client-centric organization, constantly evolving from an internet site to an entire e-change and development platform. The corporation’s innovation-pushed technique draws pinnacle-era information committed to enhancing shopping and promoting enjoyment globally. Amazon’s relentless recognition of client pleasure and technological advancement has hooked up it as a global-class platform with a global impact.

ML Data Associate At Bangalore ( Full-time ) Amazon

Job Description

The Bedrock Team at Amazon is devoted to assisting the AWS generative AI platform with the aid of the usage that specializes in records annotation and linguistic analysis for ML model training. This characteristic involves running with text-based total facts to aid Responsible AI, Reinforcement Learning from Human Feedback, Supervised Fine Tuning, and Human Content Evaluation. The team’s understanding spans numerous linguistic fields, in conjunction with sociolinguistics, computational linguistics, conversation analysis, and translation.

Key Responsibilities:

Data Annotation: Understand and practice statistics series and annotation suggestions, using annotation devices to classify textual content information into linguistic training.

Data Management: Participate in statistics technology, series, fine warranty, and perform qualitative blunders trend assessment to enhance data nicely.

Collaboration: Work with ML Data stakeholders to solve statistics ambiguities and disagreements, and offer feedback to Language Engineers and Scientists on device upgrades.

Process Improvement: Contribute to approach optimizations to reduce managing times and decorate useful resource output.

Artifact Development: Create essential language artifacts, together with datasets for education and evaluation.

Team Support: Assist in pre-screening interviews for Data Associates, help Language Engineers in verbal exchange with ML Data Associates, and collaborate with ML Data linguists and Team Managers on way innovation and automation.

Basic Qualifications:

Education: Bachelor’s degree in Linguistics, Communications, or associated discipline.

Experience: Minimum of 6 months in herbal language data labeling, information annotation, linguistic annotation, or training. Experience in identifying linguistic ambiguity and annotation inaccuracies is needed.

Preferred Qualifications:

Tools Familiarity: Knowledge of commonplace textual content processing tools.

Passion for Language: Interest in linguistics, human language era, and AI.

Domain Knowledge: Familiarity with domains like Finance, Health Care, and Insurance.

ML Data Associate At Bangalore ( Full-time ) Amazon

Benefits at Amazon 

Competitive Salary: Attractive revenue programs with overall performance-based incentives.

Career Growth: Opportunities for professional development and career development within a global chief in era.

Innovative Environment: Work with current technology and contribute to massive upgrades in e-trade and AI.

Comprehensive Health Coverage: Access to vast health and well-being advantages for personnel and their households.

Work-Life Balance: Flexible working arrangements and supportive painting surroundings to maintain a wholesome paintings-life stability.

 

Apply Now

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