ADCI

Applied Science, amazon business

AppliedScientist,TrustworthyShoppingExperience(TSE)

₹12–20L ~AI est. Bengaluru, Karnataka, India FULL TIME
The Brief

“Applied Scientist, Trustworthy Shopping Experience (TSE) at ADCI. Skills: Generative AI, Agentic AI, Multimodal AI, Machine Learning. Contribute to design and development of agentic AI. Automate complex manual investigation processes”

What You'll Achieve.

Reduce cost-of-serving; Maintain trust and safety standards; Deliver end-to-end AI development

Industry & Context.

Applied Science, amazon business
Problems you'll solve

Solve business problems; Troubleshoot issues; Research root causes; Resolve defects

What They're Looking For.

Must Have

Experience programming in Java, C++, Python, Experience with SQL, Experience building machine learning models, Experience implementing algorithms

Nice to Have

Publications at top-tier conferences, Experience in deep learning models architecture design, Experience in deep learning training and optimization, Experience in model pruning, Experience in designing experiments, Statistical analysis of results

What You'll Do.

Contribute to design and development of agentic AI

Automate complex manual investigation processes

Map business goals to scientific problems

and experiment with solutions

Stay current on research trends

Benchmark results against state of the art

Design and execute experiments

Identify optimal solutions

Initiate development and implementation of components

Write production code

Rigorously evaluate models

Handle data in accordance with policies

Troubleshoot issues to root cause

Ensure work does not put company at risk

Participate in team design discussions

Participate in prioritization discussions

Learn business context behind products

Escalate problems with proposed solutions

Publish internal technical reports

Contribute to peer-reviewed publications

Contribute to external review activities

Contribute to end-to-end AI development

Help productionize models

Apply mathematical optimization techniques

Build production-ready deep learning solutions

Build conventional ML solutions

Develop representations that capture signals

Iterate based on feedback

Deliver small components

Integrate into production-scale systems

Write maintainable code

Balance model capability

Balance deployment cost

Balance resource usage

Understand state-of-the-art data structures

Understand algorithms

Understand performance tradeoffs

Quantify model performance

Seek to learn business context

Seek to learn science

Seek to learn engineering

Institutionalize scientific learning

Help train scientists

Identify problems with proposed solutions

Escalate problems with proposed solutions

Take ownership of problems

Ensure clear hand-off of problems

How You'll Work.

Team & Collaboration

Working alongside senior scientists; Working with senior scientists; Team design discussions; Prioritization discussions; Participate in discussions

Communication Scope

Clear verbal communication; Clear written communication; Publish technical reports

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