ADCI

Machine Learning Science, Applied Science, no business category

AppliedScientistII,BooksContentExperience

₹22–35L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Applied Scientist II, Books Content Experience at ADCI. Skills: Machine learning, Natural language processing, Computer vision, Deep learning. Inspect science initiatives. Apply initiatives to book reading”

What You'll Achieve.

Improve book reading experience; Benefit customers; Benefit business area; Meet customer needs; Meet team goals

Industry & Context.

Machine Learning Science, Applied Science, no business category
Problems you'll solve

Solve problems; Root cause analysis

What They're Looking For.

Must Have

3+ years building models, Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing

Nice to Have

PhD preferred, Experience using Unix/Linux, Experience in professional software development

What You'll Do.

Inspect science initiatives

Apply initiatives to book reading

Scale initiatives to book reading

Map business goal to scientific problem

Map business metrics to technical metrics

Spearhead design of new features

Spearhead implementation of new features

Initiate design of smaller components

Initiate development of smaller components

Initiate execution of smaller components

Initiate implementation of smaller components

Work with SDEs to deliver solutions

Deliver solutions into production

Assume responsibility for code

Write maintainable code

Keep current with research trends

Solve customer problems

Discuss model development

Discuss productionizing models

Mentor other scientists

How You'll Work.

Team & Collaboration

Cross-functional teams; Partner teams; Engineering; PMs; Other scientists

Process & Methodology

Prioritization discussions, Roadmap development

Full Job Description

The Kindle team is seeking innovative Applied Scientists for improving the reading experience. Our team is dedicated to enhancing the book reading experience using advancements in Science to improve the book reading experience for Kindle customers. Key job responsibilities - Inspect science initiatives across Amazon to identify how these can be applied and scaled to book reading experience. - Participate in team design, scoping and prioritization discussions. You must be able to map a business goal to a scientific problem, and map business metrics to technical metrics. - Spearhead the design and implementation of new features and algorithms based on thorough research and collaboration with cross-functional teams. - You have expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, Deep learning - You are able to use reasonable assumptions, data, and customer requirements to solve problems. - You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members. - You work with SDEs to deliver solutions into production to benefit customers or an area of the business. - You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects. - You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs. - You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly - You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics. - You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. - You keep current with research trends in your area of expertise and scrutinize your resul

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