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Tier-1 employer, sought-after ML applied scientist role in Bangalore with broad hiring visibility increases competition.
Role requires advanced ML research and production experience, making cross-industry transitions difficult.
Requires advanced degree, strong ML research and production experience, reducing candidate pool moderately.
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Develop, productionize, and measure impact of personalized Gen AI systems for Amazon’s global seller platform, including batch and real-time applications.
Translate ambiguous customer needs into structured ML solutions, focusing on Agentic, RL, and forecasting systems.
Collaborate with global leaders and teams to contribute to Amazon-wide research including publications and white papers.
Master’s degree in Computer Science or related Machine Learning field.
Experience programming in Python (modular, structured code) plus Java or C++.
Proficient with deep learning frameworks (Tensorflow, Keras, PyTorch) and experience in scalable AI system design.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced ML Scientist or Tech Lead with a track record of shipping large-scale impactful ML products.
Strong foundation in statistics, machine learning, deep learning and Agentic frameworks (e.g., LangChain, Crew AI).
Skilled in building data pipelines and querying large-scale data warehouses (Spark, Hive, Redshift).