Amazon Development Centre (India) Private Limited

Machine Learning Science, Applied Science, no business category

AppliedScientistII

₹22–35L ~AI est. Bengaluru, Karnataka, India FULL TIME
The Brief

“Applied Scientist II at Amazon Development Centre (India) Private Limited. Skills: Data science, Machine learning, Model development. Inspect science initiatives. Identify opportunities for application and scaling”

What You'll Achieve.

Enhance book reading & discovery experiences; Benefit customers; Benefit business operations; Meet customer needs; Meet team objectives

Industry & Context.

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

Solve complex problems; Data analysis; Customer requirements

What They're Looking For.

Must Have

Experience programming in Java, C++, Python or related language, Experience with SQL and an RDBMS or Data Warehouse, Understanding of data structures, Understanding of algorithms, Understanding of model evaluation techniques, Understanding of performance optimization, Understanding of trade-off analysis

Nice to Have

Publications at top-tier peer-reviewed conferences or journals, Experience implementing algorithms using toolkits, Experience implementing algorithms using self-developed code

What You'll Do.

Inspect science initiatives

Identify opportunities for application and scaling

Participate in team design discussions

Participate in scoping discussions

Participate in prioritization discussions

Map business goals to scientific problems

Align business metrics with technical metrics

Spearhead design of new features

Spearhead implementation of new features

Initiate design of project components

Initiate development of project components

Initiate execution of project components

Initiate implementation of project components

Work with Software Development Engineers

Deliver production-ready solutions

Use reasonable assumptions

Use customer requirements

Write maintainable code

Follow engineering best practices

Follow scientific method best practices

Conduct design reviews

Conduct model validation

Conduct comprehensive testing

Maintain current knowledge of research trends

Apply rigorous scrutiny to results

Apply rigorous scrutiny to methodologies

Address complex Books customer challenges

Develop innovative solutions

Leverage advancements in science

Enhance Books reading experience

Enhance Books shopping experience

Collaborate with cross-functional partner teams

Ensure optimal data quality

Ensure robust model development

Ensure successful productionization of scientific solutions

Provide mentorship to other scientists

Conduct reviews of their work

Contribute to development of team roadmaps

How You'll Work.

Team & Collaboration

Cross-functional teams; Partner teams; Fellow scientists

Process & Methodology

Roadmaps

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