Manager, Applied Science, RBS Tech

Alternance Amazon; Bengaluru; Presencial; INR 4 000 000 - 7 000 000; Tempo integral

Resumo da oferta

Amazon in Bengaluru, India, is seeking an Applied Science Manager to design and deploy scalable GenAI, NLP, and Computer Vision solutions that affect content seen by millions of customers. You will lead scientists, oversee projects from exploration to production, and partner with business and engineering teams to tackle large, complex problems with scientific innovation.

You will mentor colleagues, contribute to the team’s technical growth, and help shape strategic direction while fostering an

Qualificações

• Master’s degree or PhD with ML, statistics, and deep learning focus.
• 5+ years applying ML to large-scale applications.
• Strong written and verbal communication and presentation skills.
• 2+ years leading a team of scientists and engineers; mentoring.

Responsabilidades

• Design and deploy scalable GenAI, NLP and Computer Vision solutions.
• Lead scientists and oversee research to deployment in production systems.
• Collaborate with business and engineering teams to solve complex problems.
• Mentor colleagues and contribute to patents or publish research.

Conhecimentos

ML

NLP

Information Retrieval

Analytics

Leadership

Communication

C/C++

Python

Java

Deep Learning

Formação académica

Master's degree or PhD in ML/statistics/DL

Descrição da oferta de emprego

RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns).

As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision.

Key job responsibilities

As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will Lead scientists on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will create the environment in the team to file for patents and/or publish research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team.

Basic Qualifications

• Knowledge of ML, NLP, Information Retrieval and Analytics


• Master's degree, or a PhD and experience in machine learning, statistics, and deep learning


• 5+ years of practical work applying ML to solve complex problems for large-scale applications experience


• Experience with written and verbal communication and presentation


• 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java

Preferred Qualifications

• Experience building machine learning models or developing algorithms for business application


• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.