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Amazon Inc. in Chennai is seeking a capable science/engineer to advance Competitive Monitoring systems for ML, LLMs in production, and recommender systems at a worldwide scale. You’ll craft end-to-end solutions, write maintainable code, and share findings across CMT and beyond.
The role emphasizes researching diverse approaches, rapid experimentation, collaboration with engineers, and expanding knowledge into ML engineering and production-ready practices.
As a member of the CMT team, you'll play a key role in the evolution of our Competitive Monitoring systems to solve significantly complex and interesting technical challenges in machine learning, large language models in production, and recommender systems to name a few. The team's work directly impacts customer experience at a worldwide scale.
Research the problem domain and come up with various approaches to solve the problem.
Be willing to experiment quickly and fail fast.
Collaborate with engineers to come up with the right end to end solution to the business problems.
Ideate on future roadmap for science in CMT
Be willing to roll up your sleeves and learn core topics outside applied science, for example ML engineering
A typical day might involve (a) working on ideas for improving models around product similarity or price recommendations, (b) working closely with other scientists and our ML engineers to ensure that the best models are in production, (c) writing good maintainable code that can be reused and reproduced, (d) sharing your work across CMT and beyond via technical writings and presentations
Experience programming in Java, C++, Python or related language
Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
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