Catalog Specialist, WWRR Science Annotation Team

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning

In short

Amazon sucht einen erfahrenen Katalogspezialisten für das WWRR Science Annotation Team in Hyderabad. Die Rolle unterstützt die Entwicklung von Machine-Learning-Modellen durch Datenannotation und die Zusammenarbeit mit Produkt-, Technologie- und Wissenschaftsteams. Spanischkenntnisse sind erforderlich.

Responsibilities

Work closely with product, technology, and science teams to support Machine Learning (ML) models
Perform data annotation required to train and evaluate ML models effectively
Support data scientists in the development of classification algorithms
Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines
Maintain high-quality standards for annotated data to optimize model performance
Continuously evaluate and improve annotation processes to enhance efficiency and accuracy
Strong analytical skills and the ability to deep-dive on complex problems
Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills

Requirements

Bachelor's degree or above in computer science, computer engineering, or related field, or experience in communicating technically, at a level appropriate for the audience
Proven experience in data annotation and labeling for ML model training and evaluation
Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain
Language proficiency in Spanish

Benefits

Inclusive culture empowers Amazonians to deliver the best results for our customers.
Workplace accommodations and adjustments during the application and hiring process, including support for the interview or onboarding process.

Skills

Machine LearningData AnnotationClassification AlgorithmsSpanishData Science

#Machine Learning#Data Annotation#Classification Algorithms#Spanish#Data Science#Hyderabad

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