Applied Scientist

Amazon India Limited; Gurugram District; Presencial; INR 1.500.000 - 2.200.000; Jornada completa

Descripción de la vacante

Applied Scientist I at Amazon Shipping is responsible for building large-scale forecasting and optimization systems that power Amazon’s global transportation network and influence customer experience and cost. You will guide model choices across tree-based methods, deep learning, transformers, LLMs, and reinforcement learning, ensuring production-grade, scalable solutions.

Collaboration with Product and Engineering is essential.

Formación

• Experience programming in Java, C++, Python.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
• Publications at top-tier conferences or journals is preferred.
• Experience implementing algorithms using toolkits and self-developed code.

Responsabilidades

• Design model and system architectures across tree-based models, DL (LSTMs, transformers), LLMs, and RL.
• Ensure models are production-ready, scalable, and robust with stakeholders.
• Collaborate with Product, Operations, and Engineering leaders for proactive decision-making.
• Own end-to-end business metrics affecting customer experience and cost.
• Contribute to the ML community via publications and internal knowledge sharing.

Conocimientos

Java

C++

Python

SQL

Herramientas

Oracle

Data Warehouse

Descripción del empleo

Applied Scientist I, Amazon Shipping Building large-scale forecasting and optimization systems that power Amazon’s global transportation network and directly impact customer experience and cost.

Key Job Responsibilities

• Guide model and system design across a range of techniques, including tree-based models, deep learning (LSTMs, transformers), LLMs, and reinforcement learning.
• Ensure models are production-ready, scalable, and robust through close partnership with stakeholders.
• Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
• Own end-to-end business metrics, directly influencing customer experience, cost optimization, and network reliability.
• Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.

Basic Qualifications

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

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