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Designs and builds cloud-native data pipelines on GCP to power analytics and AI workloads, focusing on scalable ETL, data ingestion, and modeling.
Designs and maintains customer audience segments in Adobe Experience Platform and RT-CDP, integrating data flows and identity resolution for activation across a MarTech stack.
Design and deploy secure enterprise AI solutions using Azure AI services, building RAG systems, AI agents, and vector search pipelines for a large Federal Government environment.
Designs and deploys secure, governed AI solutions on Azure OpenAI, building RAG agents, APIs, and vector search pipelines while ensuring responsible AI practices and cybersecurity compliance.
Build and scale a cloud-based data lake on AWS and Snowflake, designing ingestion pipelines and supporting analytics teams with curated datasets for a major transit project.
Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using LLMs, RAG, and vector databases.
Overview Diligent's Commercial AI Transformation function builds AI agents that automate real workflows across our commercial organization, from sales and customer success to internal operations. We've already…
Leads agile teams to design and deliver modern data solutions, balancing trade-offs and providing technical leadership for cloud-based data platforms using AWS, Azure, GCP, or Databricks.
Are you passionate about data, automation, and technology? We are looking for a highly capable and intellectually curious Junior Data Engineer to join our innovative tax and advisory business. This opportunity is…
Lead enterprise data and AI strategy, designing scalable data ecosystems and cloud-native platforms while guiding AI/ML initiatives and governance for digital innovation.
Design and maintain scalable data pipelines on GCP and Snowflake, ingesting marketing/media data and feeding analytics tools like Amplitude to power AI-driven insights for global brands.
Build and maintain external data ingestion pipelines for insurance premium bordereaux and partner feeds, using Azure tools to ensure accurate, timely data for finance and reporting.
Build and maintain the backend infrastructure for OrthoAI’s AI platform, handling multimodal data ingestion, model services, and production-grade outputs in a healthcare setting.
Build and own the backend platform that turns multimodal dental data into explainable AI outputs, integrating ML models, human review, and secure clinical workflows.
Oversee data quality and governance for S&P Global’s foundational data systems, ensuring compliance and security standards are met.
Design and operate scalable cloud platforms using AWS, Kubernetes, and Terraform to automate deployments and improve developer productivity, with AI-driven tools for infrastructure and incident analysis.
Designs, builds, and operates secure data pipelines and Databricks-native infrastructure for a payments intelligence platform.
The Manager: AI Architecture is responsible for designing, governing, and evolving the organization’s end-to-end Artificial Intelligence (AI) architecture. The role ensures AI solutions are scalable, secure, ethical,…
Designs and maintains enterprise data architecture, builds scalable data platforms (lakes, warehouses, streaming), and sets standards for modeling, governance, and cloud integration to support analytics and AI.
Owns and scales data ingestion pipelines for a marketing platform, integrating multiple marketing systems using SQL and Python.
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