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Engineer secure data integrations and AI-driven automation for counterintelligence missions, building real-time dashboards and intelligent agents using Palantir Foundry, MSS, and geospatial tools.
Build and deploy AI solutions (generative AI, RAG, agentic workflows) for MUFG’s Global Markets, ensuring alignment with AI governance, risk controls, and regulatory requirements.
Principal AI engineer building and scaling production-grade AI systems, LLMs, and agentic workflows to drive operational efficiency and business outcomes at Alaska Airlines.
Design and build scalable GCP data pipelines using BigQuery, Python, SQL, DBT, and Airflow to deliver trusted, analytics-ready datasets for Mattel’s enterprise analytics.
Build and maintain AI-powered web scraping systems and data pipelines for brand protection, using Python, SQL, and cloud infrastructure to extract, process, and validate large-scale web data reliably.
R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems, and medical groups. We are the one company that combines the deep…
R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep…
Design and lead enterprise-grade customer-facing platforms (CRM, service, revenue ops) that integrate AI/ML, ensuring scalable, secure solutions aligned with business goals and governance.
Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
Build and maintain a secure AI platform for law-enforcement investigations, integrating LLMs, RAG, and agentic workflows with backend services and frontend interfaces.
Builds and maintains cloud-based ETL pipelines that process environmental datasets (energy, emissions, resources) using Python, PySpark, and AWS to power sustainability analytics.
Lead a regional engineering team to build and scale a secure, compliant Loan Origination platform using Java, CI/CD, and AI-driven automation while ensuring MAS regulatory adherence.
Build and integrate AI-enabled workflows, APIs, and cloud-native solutions to automate partnering operations and decision-making in Roche’s healthcare ecosystem using Python, AWS, and MLOps practices.
Build and maintain AI-enabled full-stack applications for memory and storage manufacturing workflows, integrating custom agents, RAG systems, and MCP-based tooling.
Maintains and troubleshoots end-to-end QA database environments (SQL Server, Oracle, Postgres, Snowflake, Redis, etc.) to ensure stable, consistent test data and seamless deployments for financial software releases.
Build and optimize AI-ready data pipelines, vector stores, and retrieval systems using Airflow, Elasticsearch, and Python to power large-scale AI models and RAG applications.
Maintain and evolve an Azure-based backend platform using .NET 8/C# and Cosmos DB, troubleshooting issues and upgrading dependencies while contributing to CI/CD pipelines.
Design and operate AI-focused data pipelines that ingest, store, and process high-volume data for model-ready datasets, vector stores, and low-latency retrieval in a government defense context.
Designs and builds AI/ML models and data pipelines to improve infrastructure reliability, capacity forecasting, and operational automation for a large bank’s hybrid cloud and on-premises environments.
This position is based onsite at LifePoint Harris Regional Hospital in Sylva, NC. The role offers a flexible schedule, with start times as early as 7:00 a.m., and the opportunity to work remotely one day per week. R1…
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