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Platform Engineer building, automating, and operating a cloud-based data platform with a primary focus on Snowflake, CI/CD pipelines via GitLab, and AWS/Azure cloud services.
The Data Scientist will design and deliver training programs, mentorship, and technical documentation for data science teams while maintaining hands-on development work. The role requires advanced Python and SQL skills, experience with Git workflows, and an active TS/SCI with Polygraph security clearance.
Data Engineer building ETL pipelines and migrating legacy data for the DEA's case management modernization program using SQL, Python, and cloud data platforms.
Principal Product Manager designing and governing agentic AI architecture—LLM agent chaining, context graphs, telemetry, and evaluation frameworks—for Zeta Global's AI-powered marketing cloud platform.
Build and scale a cloud-native healthcare data platform that ingests, normalizes, and exchanges clinical and claims data using modern full-stack tools and secure, compliant architectures.
Software engineer building GUIs and dashboards, deploying/managing AWS applications, automating workflows, and integrating AI/ML models for a government consulting firm in Fort Meade, MD.
Senior Python Developer building and optimizing large-scale data pipelines on a bank's core AI & Data platform using Python, PySpark, Airflow, and Kubernetes.
Security Developer on the IAM team building access request workflows, self-service tools, and automated user lifecycle pipelines using Python, APIs, and identity providers like Okta.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
Build and operate backend platform services in Go or Rust for workflow execution, identity, event routing, secrets management, and audit infrastructure using event-driven architecture with Kafka and Temporal.
The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate…
This role involves building and owning the MLOps and observability stack for a new European cloud platform, focusing on Kubernetes-based services like Kubeflow and Airflow. The engineer will design scalable infrastructure, develop APIs, and maintain production reliability using Go and Python.
Develop productivity applications and release technologies to optimize Apple's internal engineering workflows, using server-side languages like Swift or Go.
The Full-Stack AI Engineer will design, develop, and deploy enterprise-grade AI applications using AWS AI services, LLMs, and agentic frameworks. The role involves building scalable front-end and back-end components to integrate AI solutions into business platforms.
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
关于我们 安贤投资（AXQ Capital）致力于以严谨的量化研究与先进的信息技术驱动投资。我们打造科学高效的量化研究框架，构建多市场多策略投资体系。策略布局覆盖全球股票统计套利、A股指数增强、CTA、股票日内、期货高频等领域，在全球市场部署运行，覆盖多个地区、资产类别及交易周期。 自 2018…
Senior Data Engineer designing and building large-scale Spark-based data pipelines on AWS for analytics, ML, and reporting at Santander's Open Digital Services in Madrid.
Leads AI-driven development of insurance products by designing agentic AI systems, optimizing LLM inference, and delivering full-stack features.
Builds and maintains data pipelines to ingest, transform, and serve large-scale economic/industrial datasets for an AI system forecasting global business impacts.
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