Data Engineering Manager - (GCP, AI/ML & GenAI) @ Naveera Tech, USA - Remote Wor

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Greetings of the day!! I am Arumugam Veera, reaching out to you regarding an exciting career opportunity with Naveera Technology LLC . I would be happy to connect and discuss the opportunity further. You can also connect with me on LinkedIn: About Naveera Technology LLC Naveera Technology LLC is a trusted global engineering partner delivering Data Engineering, Generative AI, Application Development, and IT Infrastructure solutions. With over 15 years of experience in IT services and consulting, we help organizations transform raw data into actionable business value. With a team of 100+ employees and successful delivery of 3+ global projects, Naveera serves clients across multiple industries and geographies through agile delivery models and proven engineering practices. From Digital Health and Financial Services to E-Commerce and Technology, we support a diverse client base and back every engagement with proven frameworks, low-attrition teams, and scalable global delivery capabilities. At Naveera, we empower organizations to turn challenges into opportunities, data into insights, and innovative ideas into enterprise-grade platforms. Specialties Data Engineering Modern Data Stack, Generative AI Solutions Model Deployment, Application Development (Web, Mobile Enterprise), Artificial Intelligence (Predictive, Conversational, Computer Vision), IT Infrastructure Services (Cloud On-Prem), Security, DR, Cloud Transformation Microservices, DevOps, API Systems Integration, Extended Technology Teams Dedicated Delivery, Real-Time Streaming Analytics, and BI Data Warehousing Job Title: Data Engineering Manager - (GCP, AI/ML GenAI) Experience: 15+ Years Location: Remote (USA) Primary Focus: GCP Data Engineering AWS, AI/ML GenAI Note: Preferrably we are looking for hands on experience as a Head of Engineering/ Engineering manager in GCP Platform and if you are currently working as a Senior/Lead Data Engineer then your profile is not suitable for the current requirement. Position Overview We are looking for an experienced Engineering Manager with strong hands-on expertise in AWS and GCP Data Engineering to lead a large-scale AWS-to-GCP data platform migration. The ideal candidate will have strong experience designing enterprise data platforms on AWS and migrating them to Google Cloud Platform (GCP). The role requires a combination of technical architecture, hands-on engineering, migration leadership, team management and stakeholder management. The candidate should have strong hands-on experience with AWS services such as S3, Glue, Redshift, Athena, Step Functions and AWS DMS, along with strong GCP expertise across BigQuery, Dataflow, Pub/Sub, Cloud Storage and Cloud Composer. The Engineering Manager will work closely with US-based stakeholders, architects, engineers, DevOps teams, Data Science and BI teams to define the migration strategy and ensure successful execution. Key Responsibilities 1. AI/ML, Generative AI MLOps Design and implement AI/ML and Generative AI solutions on GCP using Vertex AI, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Run, and related GCP-native services. Build production-grade machine learning pipelines for data preparation, model training, validation, evaluation, deployment, monitoring, retraining, and lifecycle management. Develop Generative AI and Retrieval-Augmented Generation (RAG) solutions, including enterprise search, document intelligence, AI assistants, summarization, semantic search, embeddings, vector search, and knowledge-management applications. Design scalable ingestion, transformation, chunking, embedding, indexing, and retrieval pipelines for structured and unstructured enterprise data. Implement MLOps practices using Vertex AI Pipelines, Model Registry, model endpoints, Terraform, GitHub, Cloud Build, and CI/CD pipelines. Establish standards for model versioning, experiment tracking, data and feature validation, automated testing, deployment approvals, rollback, and environment promotion. Imple

您好！我是Arumugam Veera，特此联系您，关于Naveera Technology LLC的一个令人兴奋的职业机会。我很乐意与您联系并进一步讨论这个机会。您也可以通过LinkedIn与我联系：关于Naveera Technology LLC Naveera Technology LLC是一家值得信赖的全球工程合作伙伴，提供数据工程、生成式AI、应用开发和IT基础设施解决方案。凭借超过15年的IT服务和咨询经验，我们帮助组织将原始数据转化为可操作的业务价值。Naveera拥有100多名员工，成功交付了3个以上全球项目，通过敏捷交付模式和经过验证的工程实践，为多个行业和地区的客户提供服务。从数字健康和金融服务到电子商务和技术，我们支持多元化的客户群，并以经过验证的框架、低流失率团队和可扩展的全球交付能力为每一次合作提供保障。在Naveera，我们赋能组织将挑战转化为机遇，将数据转化为洞察，将创新想法转化为企业级平台。专长 数据工程 现代数据栈、生成式AI解决方案 模型部署、应用开发（Web、移动企业）、人工智能（预测、对话、计算机视觉）、IT基础设施服务（云本地部署）、安全、灾难恢复、云转型 微服务、DevOps、API系统集成、扩展技术团队 专属交付、实时流分析以及BI数据仓库 职位名称：数据工程经理 - （GCP、AI/ML GenAI）经验：15年以上 地点：远程（美国）主要关注：GCP数据工程 AWS、AI/ML GenAI 注意：我们更倾向于寻找在GCP平台上具有工程主管/工程经理实操经验的候选人，如果您目前担任高级/首席数据工程师，那么您的背景不适合当前需求。职位概述 我们正在寻找一位经验丰富的工程经理，具备AWS和GCP数据工程的强大实操专长，以领导大规模AWS到GCP数据平台迁移。理想的候选人应具有在AWS上设计企业数据平台并将其迁移到Google Cloud Platform（GCP）的丰富经验。该角色需要技术架构、实操工程、迁移领导、团队管理和利益相关者管理的组合。候选人应具有AWS服务（如S3、Glue、Redshift、Athena、Step Functions和AWS DMS）的强大实操经验，以及在BigQuery、Dataflow、Pub/Sub、Cloud Storage和Cloud Composer方面的强大GCP专长。工程经理将与美国利益相关者、架构师、工程师、DevOps团队、数据科学和BI团队密切合作，定义迁移策略并确保成功执行。主要职责 1. AI/ML、生成式AI MLOps 使用Vertex AI、BigQuery、Cloud Storage、Dataflow、Pub/Sub、Cloud Run及相关GCP原生服务在GCP上设计和实施AI/ML和生成式AI解决方案。构建生产级机器学习管道，用于数据准备、模型训练、验证、评估、部署、监控、再训练和生命周期管理。开发生成式AI和检索增强生成（RAG）解决方案，包括企业搜索、文档智能、AI助手、摘要、语义搜索、嵌入、向量搜索和知识管理应用。为结构化和非结构化企业数据设计可扩展的摄取、转换、分块、嵌入、索引和检索管道。使用Vertex AI Pipelines、Model Registry、模型端点、Terraform、GitHub、Cloud Build和CI/CD管道实施MLOps实践。建立模型版本控制、实验跟踪、数据和特征验证、自动化测试、部署审批、回滚和环境推广的标准。实施

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