ADCI

E-Commerce

AppliedScientist,TrustworthyShoppingExperience(TSE)

₹12–18L ~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, Trustworthy Shopping Experience (TSE) at ADCI. Skills: Generative AI, Agentic AI, Machine Learning, Deep Learning. Contribute to design and development of agentic AI. Reasoning”

What You'll Achieve.

Guarantee customers worry-free shopping experience; Earn customer trust; Reduce cost-of-serving; Maintain trust and safety standards; Serve hundreds of millions of customers

Industry & Context.

E Commerce
Problems you'll solve

Solve complex business problems; Map business goals to scientific problems; Troubleshoot issues to root cause; Identify customer and business problems; Escalate problems with proposed solutions

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, Experience building machine learning models or developing algorithms, Experience in deep learning models architecture design, Experience in deep learning training and optimization, Experience in model pruning

Nice to Have

Experience implementing algorithms using toolkits, Experience implementing algorithms using self-developed code, Publications at top-tier peer-reviewed conferences or journals, Publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS

What You'll Do.

Contribute to design and development of agentic AI

Autonomous task execution

Multimodal intelligence

Leverage reinforcement learning techniques

Agent decision-making

Design and build expertise agentic AI systems

Long term memory mechanisms

Short term memory mechanisms

Productionize large scale models

Supervised Finetuning

Reinforced fine tuning

Process/Outcome Reward Models

Contrastive approaches

Prototypical approaches

Enhance Automatic prompt optimization techniques

Ground truth datasets

Improve agentic planning

Build novel production ready Finetuned transformer architectures

Conventional supervised ML solutions

Unsupervised ML solutions

Aid automation requirements

Identify customer and business problems

Extend state-of-the-art approaches

Complex LLM workflows

Contribute to building production-ready deep learning solutions

Conventional ML solutions

Cross-modal alignment techniques

Connect visual understanding

Textual understanding

Relational understanding

Support automation requirements

Co-author research papers

Peer-reviewed internal venues

Peer-reviewed external venues

Multimodal representation learning

Vision-language modeling

Review research submissions

Iterate based on feedback

Deliver small components

Multimodal data pipelines

How You'll Work.

Team & Collaboration

Working alongside senior scientists; Participate in team design discussions; Participate in prioritization discussions; Participate in engineering best practices; Peer review code; Mentor interns

Communication Scope

Clear verbal communication; Clear written communication; Publish internal technical reports; Communicate design

Full Job Description

Are you passionate about solving complex business problems at scale through Generative AI? Do you want to help build intelligent systems that reason, act, and learn from minimal supervision? If so, we have an exciting opportunity for you on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy. We do this in close partnership with our selling partners, empowering them with best-in-class tools and expertise to offer a high-quality, compliant selection that customers trust. As an Applied Scientist I, you will bring subject matter expertise in at least one relevant discipline (e.g., NLP, computer vision, representation learning, agentic architecture) to contribute to next-generation agentic AI solutions that automate complex manual investigation processes at Amazon scale. Working alongside senior scientists, you will map business goals—such as reducing cost-of-serving while maintaining trust and safety standards—to well-defined scientific problems and metrics. You will invent, refine, and experiment with solutions spanning agentic reasoning, self-supervised representation learning, few-shot adaptation, multimodal understanding, and model compression. With guidance from senior scientists, you will stay current on research trends and benchmark your results against the state of the art. You will help design and execute experiments to identify optimal solutions, initiating the development and implementation of small components with team guidance. You will write secure, stable, testable, and well-documented production code at the level of an SDE I, rigorously evaluating models and quantifying performance. You will handle data in accordance with Amazon policies, troubleshoot issues to root cause, and ensure your work does not put the company at risk. Your scope of influence will typically

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