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Build and own AI systems for healthcare, including ambient scribe, billing agents, and clinical decision support, with end-to-end ownership of models, prompts, retrieval, and evaluation pipelines.
Build and maintain AWS cloud infrastructure and Kubernetes clusters for News Corp’s media platforms, using Terraform, Python, and CI/CD pipelines.
Lead the design and automation of GCP-based MLOps pipelines to deploy, monitor, and scale Python ML models using Vertex AI, CI/CD, and IaC.
Lead the development and ownership of Dentsu’s Google Cloud-based data warehouse, integrating marketing, media, financial, and customer data to power reporting, analytics, and AI-driven insights for clients across Norway and the Nordics.
Lead a team of data engineers to design and optimize scalable GCP-based ELT/ETL pipelines using dbt, BigQuery, and Python, while enforcing Medallion Architecture and managing Agile delivery.
ポジションの魅力 ・グループ横断DX組織の立ち上げフェーズ（2026年4月〜） ・CIO直下の組織で、データ基盤（計測・DWH・BI等）を統合設計できる裁量 ・“AI Ready”なデータ基盤を設計・実装する中核ポジション【★】 ・介護・保育・HR・食・相談サービスなど複数事業を横断するデータ活用基盤の構築 ・全国360以上のリアル拠点×Webを統合する希少な環境の構築 募集背景 ベネッセスタイルケアグループは、 30年以上にわたり…
Design and build scalable microservices in Java/Spring Boot on GCP, automate CI/CD with Jenkins/Terraform, and ensure high availability with SQL and distributed systems.
Build, train, and deploy AI/ML propensity models to predict customer churn and personalize marketing at Verizon, using Python, R, SQL, and LLM tools like LangChain and RAG.
Build and secure Google Cloud Platform infrastructure for a regulated banking client, automating deployments with Terraform and CI/CD while embedding security into delivery pipelines.
Build and own AI agent infrastructure and automation systems that connect LLMs to internal tools and data, enabling self-service workflows for marketing and sales teams using Python, JavaScript, and GCP serverless services.
Build and run the cloud backend that connects thousands of IoT energy devices to a virtual power plant, using Kubernetes, MQTT, and Eclipse Hono to ensure reliable, secure, and scalable device-to-cloud messaging.
Build and maintain scalable GCP-based data pipelines (batch/streaming) using BigQuery, Dataflow, and Composer, plus optional Informatica IDMC, while ensuring reliability, performance, and cost efficiency.
Builds Google Cloud-based analytics and automation tools for Mattel’s manufacturing and procurement teams, using BigQuery, Looker Studio, and AppSheet to improve operational efficiency.
Build and maintain dbt models, ETL/ELT pipelines, and Snowflake/BigQuery data infrastructure for mobile-app analytics, attribution, and monetization.
Lead the design and deployment of enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while implementing RAG, agentic solutions, and MLOps pipelines.
Build and deploy production-grade AI and ML solutions in Python for consumer lending, taking models from experimentation to live systems on cloud platforms.
Lead AI and automation initiatives for State Street’s India team, designing and scaling enterprise-grade solutions with LLMs, RAG, and cloud-native architectures to drive financial-services transformation.
Build and maintain batch and real-time data pipelines on GCP, ensuring data quality, governance, and reliability for analytics and ML workloads.
Build and maintain data pipelines, cloud data warehouses, and RESTful APIs using Python, GCP, and FastAPI/Flask to support scalable data-driven applications.
Build and scale backend services for an ad-tech platform using TypeScript/Nest.js, GCP, and Google Marketing Platform integrations, while modernizing legacy systems.
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