Apple is where individual imaginations gather together committing to the values that lead to great work Every recent product we build service we create or Apple Store experience we deliver is the result of us making each other s ideas stronger That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better It s the diversity of our people and their thinking that inspires the innovation that runs through everything we do When we bring everybody in we can do the best work of our lives Here you ll do more than join something - you ll add something Apple Pay brought mobile payment to millions of customers and it s just the beginning 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 Description We are seeking pragmatic AI Big Data Enablement Engineers to join our dynamic team to build and optimize data and analytics solutions as well as perform ML enablement and participate in generative AI initiatives and and specialize in implementing Developer Enablement technologies leveraging reusable and scalable frameworks to craft the future of Wallet and Apple Pay You will collaborate with cross-functional teams across different time zones and contribute to scalable data architectures Responsibilities Design develop and maintain scalable data pipelines and architectures for Wallet Payments Commerce products Enable data frameworks to automate domain-specific data and analytics workflows Incorporate GenAI into data engineering workflows applications or internal data and analytics tools Optimize ETL workflows to enhance data processing efficiency and reliability Ensure data integrity and performance in big data workflows Build frameworks to automate test suites and streamline data operations Develops and deploys AI-powered support tools for developers such as code suggestion bots to help identify vulnerabilities and ensure policy compliance 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 Integrates GenAI with CI CD pipelines to enhance monitoring alerting and issue resolution Automates code review processes to detect bugs enforce coding standards and suggest improvements Creates technical specifications instrumentation specs and API contracts Minimum Qualifications Bachelor s or Master s degree in Computer Science or a related technical field or equivalent experience 4 years of experience in designing developing and deploying data engineering or analytics engineering solutions Strong proficiency in SQL Scala Python or Java with hands-on experience in data pipeline tools e g Apache Spark Kafka Airflow CI CD practices and version control Familiarity with cloud platforms AWS Azure GCP big data technologies and data analytics tools like Snowflake Databricks and Tableau Familiarity with RAG-LLM solutions GenAI models APIs and prompt engineering Expertise in CI CD tools like Jenkins GitHub Actions Strong analytical skills to optimize developer workflows Preferred Qualifications Expertise in building and refining large-scale data pipelines as well as developing tools and frameworks for data platforms Hands-on experience with big data technologies such as distributed querying Trino real-time analytics OLAP near-real-time data processing NRT and decentralized data architecture Apache Mesh Experience enabling ML pipelines including automating the data flow for feature engineering model retraining performance monitoring models in production drift detection and ensuring scalability Familiarity with GenAI concepts like Retrieval-Augmented Generation RAG Large Language Models LLMs prompt engineering vector embeddings and LLM fine-tuning Familiarity with observability tools like DataDog Prometheus Grafana Expertise in building user journey workflow and test suite automation Familiarity with data governance security protocols and compliance Proven ability to work independently escalate blockers and propose thoughtful long-term solutions Demonstrates sound judgment applies technical principles to complex projects evaluates solutions and proposes new ideas and process improvements Seeks new opportunities for growth demonstrates a thorough understanding of technical concepts exercises independence in problem-solving and delivers impactful results at the team level Familiarity with Fintech Wallet domain digital commerce etc Submit CV

📌 Ai Big Data Enablement Engineer (Telangana)
🏢 Apple
📍 Telangana