ADCI

e-commerce

SeniorAppliedScienceManager,CMT

₹35–55L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Senior Applied Science Manager, CMT at ADCI. Skills: Applied Science, Machine Learning, AI, Large-scale computing. Lead and manage teams of applied scientists and. Provide mentorship, career development, and performance management”

What You'll Achieve.

Improve model performance; Improve model usability; Improve model scalability; Deliver operationally stable solutions; Provide exceptional customer experiences

Industry & Context.

e commerce
Problems you'll solve

Problem definitions; Competing objectives; Data-driven decision making

What They're Looking For.

Must Have

10+ years of building large-scale machine learning and AI solutions at Internet scale, Master's degree in Computer Science, Experience building large-scale machine learning and AI solutions at Internet scale, Experience distilling informal customer requirements into problem definitions, Experience hiring and leading experienced scientists, Successful record of developing junior members

Nice to Have

PhD in Computer Science (AI/ML), PhD in related fields

What You'll Do.

Lead and manage teams of applied scientists and

and performance management

Define and execute the technical roadmap for applied

Balance innovation with business impact

Work with new technologies and methodologies

Improve model performance

and scalability of ML

Translate complex business requirements into technical deliverables

Deliver operationally stable solutions

Provide exceptional customer experiences

Participate in the full development cycle

Evaluate and make strategic decisions around the use

Collaborate with Senior Engineers

Define architecture and research plans

Drive scientific rigor through experimentation

Drive scientific rigor through A/B testing

Drive scientific rigor through data-driven decision making

Partner with cross-functional teams

Align science initiatives with business objectives

Publish research findings

Represent Amazon at top-tier conferences

Represent Amazon in the scientific community

Establish best practices for ML development

Establish best practices for model evaluation

Establish best practices for monitoring

Establish best practices for continuous improvement

How You'll Work.

Team & Collaboration

Cross-functional teams; Product management; Engineering; Business stakeholders; Senior Engineers; Principal Engineers; Principal Scientists

Communication Scope

Publish research findings; Represent Amazon at top-tier conferences; Represent Amazon in the scientific community

Process & Methodology

Roadmap planning

Full Job Description

About the team Amazon 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 continues to grow and evolve as a world-class e-commerce platform. The competitive pricing team is responsible for ensuring that we earn and keep our customer trust around our low prices. This involves ensuring for all the products that are sold on Amazon marketplaces worldwide, customers get the best price. To meet these challenges, we are looking for passionate, talented and innovative scientists looking to work on technology, from Natural Language processing to optimization to image processing and LLMs. Job summary As a member of this team, you'll play a key role in the evolution of our Competitive Monitoring systems to solve significantly complex and interesting technical challenges in Large-scale computing, Distributed systems, Web applications, Data mining, Scalability, Security, and Algorithms to name a few. The team's work directly impacts customer experience at a worldwide scale. In addition to getting the opportunity to participate in research in several domains, you will lead the solution to complex pricing problems in an extremely agile environment. This role will have the opportunity to learn and work on the generative AI solutions. Key job responsibilities Key job responsibilities • Lead and manage teams of applied scientists and machine learning engineers, providing mentorship, career development, and performance management • Define and execute the technical roadmap for applied science initiatives, balancing innovation with business impact • Work with new technologies and methodologies that improve model performance, usability, and scalability of ML systems • Translate complex business requirements into technical deliverables and deliver operationally stable solutions that provide exceptional customer exp

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