Amazon Retail India Private Limited

E-Commerce

AppliedScientistII

₹25–40L ~AI est. Bengaluru, Karnataka, India FULL TIME
The Brief

“Applied Scientist II at Amazon Retail India Private Limited. Skills: Machine Learning, Deep Learning, Agentic systems, Forecasting. Build personalized Gen AI systems. Productionize personalized Gen AI systems”

Industry & Context.

E Commerce
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Master's degree in CS or ML related field, 3+ yrs experience working as a Machine Learning Scientist/Tech Lead, Ability to write clear, structured and modularized code in Python, Expertise in Deep Learning frameworks such as Tensorflow, Keras and Pytorch, Expertise in Agentic frameworks such as LangChain, Crew AI, Industry experience designing complex scalable AI systems, Experience and technical expertise across various science domains, Experience creating data pipelines, Proficient in querying data from Spark/HIVE/Redshift/other large scale data warehousing platforms, Expert in distilling informal customer requirements into problem definitions, Dealing with ambiguity, Formulating ML products to solve these problems, 3+ years of building models for business application experience, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience in patents or publications at top-tier peer-reviewed conferences or journals, Experience programming in Java, C++, Python or related language, 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 in CS or a highly computation field, 2-3+ years of industry experience shipping impactful ML products, Industry experience designing and creating state of the art recommendation and ranking systems using neural & causal techniques, Academic publications in the areas of Agentic systems, reinforcement learning, Industry experience working and delivering in an Agile/Scrum environment, Experience using Unix/Linux, Experience in professional software development

What You'll Do.

Build personalized Gen AI systems

Productionize personalized Gen AI systems

Measure impact of personalized Gen AI systems

Contribute to Amazon wide research

Publish research findings

Work with global leaders

Work with global teams

Build models for business application

Ship impactful ML products

How You'll Work.

Team & Collaboration

Global leaders; Global teams; Agile/Scrum environment

Process & Methodology

Agile, Scrum

Free ATS check

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