AI Big Data Engineer

Apple

2 - 7 years

10 - 11 Lacs

hyderabad

Posted:3 hours ago| Platform:

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Skills Required

scalability data processing commerce data quality big data operations performance monitoring analytics data extraction performance measurement

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for engineers who enjoy both hands-on technical work and designing thoughtful, scalable services for Wallet and Apple Pay
Our team s vision is to be the engine of intelligent transformation, leveraging a unified, reliable data platform to build and deploy innovative and solutions that drive significant business impact and enable data-driven decision-making throughout the organization
We are seeking pragmatic AI Big Data Engineers to join our dynamic team to build and optimize data and analytics solutions as we'll as perform ML enablement and participate in generative AI initiatives to craft the future of Wallet and Apple Pay
You will collaborate with cross-functional teams across different time zones and deliver impactful and scalable data architectures
,description:- Instrument APIs, user journey and interaction flows to systematically collect behavioral, transactional, and operational data, enabling robust analytics and insightful reporting- Build robust data architectures for Wallet, Payments & Commerce products
- Build robust data architectures supporting large-scale Wallet Payments & Commerce (WPC) applications
- Optimize ETL workflows to enhance data processing efficiency and reliability
- Develop tools and frameworks to optimize data processing performance
- Ensure data quality and integrity across all data systems and platforms
- Collaborate closely with diverse set of partners to gather requirements, prioritize use cases, and ensure high-quality data products delivery
- Integrate data pipelines into the broader ML Operations (MLOps) process
This includes automating the data flow for feature engineering, model retraining, performance monitoring models in production, drift detection and ensuring scalability
- Construct and maintain data pipelines for Gen AI/RAG solutions, including processes for data extraction, chunking, embedding, and grounding to prepare data for models and perform continuous quality and performance measurement

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