AI Platform Data Engineer, Ring Decisions Sciences Platform
Amazon - Bengaluru, Karnataka, IND
Posted Nov 14, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
AI Platform Data Engineer, Ring Decisions Sciences Platform Bengaluru, Karnataka, IND Ring is seeking an AI-first Platform Data Engineer who embraces a prompt driven development philosophy with strong technical, analytical, communication, and stakeholder management skills to join our team. This role sits at the intersection of data engineering, business intelligence, and platform engineering-requiring an ability to partner with software development engineers, scientists, data analysts, and business stakeholders across various verticals. You will design, evangelize, and implement platform features and curated datasets that power AI/ML initiatives and self-service analytics. All helping us provide a great neighbor experience at greater velocity. You will work in a complex data environment where you will support various use cases including self-service business reporting, production data pipelines, machine learning feature datasets, and datasets built for AI Agents. This role requires a first-principles approach to leveraging AI at every layer of the data stack-from using AI agents to write and optimize code, to building AI-powered platforms that serve AI models, to deploying intelligent agents that make data accessible. You will use AI to build AI infrastructure, automate the automation, and create self-improving systems that continuously enhance data quality, discoverability, and usability. Experience with AI-powered development tools, agentic workflows, prompt engineering, ML feature engineering, automated testing frameworks, self-service analytics platforms, and intelligent data discovery tools is mandatory. Key job responsibilities This role will be responsible for building and maintaining efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms using an AI-first
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