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Build and optimize low-level application frameworks and JVM internals for Databricks' data and AI platform, focusing on performance, scalability, and reliability.
Overview SRI’s Integrated Systems & Solutions Division (InSyS) designs leading-edge R&D technologies that power the systems end users depend on every day. From proof-of-concept to execution in the real world,…
Senior C++ engineer building ultra-low-latency trading systems that analyze and trade thousands of products across global venues, collaborating with quants and traders to optimize performance and reliability.
Overview The AI Infrastructure team is responsible for building and operating large-scale, highly reliable, and efficient GPU infrastructure that powers Microsoft’s AI ecosystem. We host the training and inference…
Build and scale MLOps infrastructure for an AI-driven ad platform, designing Prefect-based pipelines for training and deploying recommendation models that power real-time bidding at massive scale.
Build and operate MLOps infrastructure for an AI-native ad-tech platform, focusing on scalable model training and deployment pipelines using Python, Spark, and Prefect to support real-time bidding systems.
斯洛伐克2024年经济预计温和增长，主要得益于工业生产、出口及家庭消费的恢复。汽车工业尤其是电动汽车和电池生产的投资是关键驱动力，同时欧盟资金和劳动力市场改善提振内需，但高通胀和利率上升可能抑制增长。
Lead AI Engineer – Retirement / Wealth Domain Duration: 6 Months Location: Boston, MA / Windsor, CT Remote: Remote candidates can be considered Seeking a Lead AI Engineer with strong Retirement or Wealth Management…
Designs and maintains AWS-based cloud infrastructure for PayPay’s payment systems, ensuring scalability, security, and cost efficiency while automating deployments for developers.
About Us At Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte , the…
Senior Security Consultant guiding DHL's IT teams to strengthen cloud and DevSecOps security practices, monitoring risks, and implementing secure processes across a large-scale logistics infrastructure.
Senior Software Developer, AI Code Modernization Location: Hybrid – Quebec, Canada Position Summary Bentley is building a specialized AI Code Modernization team focused on applying advanced AI techniques to transform…
About Fortanix: In today's world, where data spreads across various clouds and devices, traditional security measures aren't enough. Businesses need a dynamic approach to defend against constant cyber threats…
Oracle Cloud Infrastructure (OCI) is growing rapidly as one of the world’s major cloud platforms. The expansion of AI, machine learning, and traditional enterprise workloads is creating new demands for cloud…
The application window is expected to close on: 09/29/2026 This is a remote role working anywhere in the USA Meet the Team You will join Cisco’s Platform & Identity Engineering Group, a foundational group…
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
Backend Application Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
This role involves designing and delivering institutional-grade multi-asset tokenization solutions using Daml and Canton within Goldman Sachs' Digital Assets Engineering team. The engineer will build secure, scalable workflows for securities, funds, and digital cash while integrating with enterprise systems.
This role involves designing and delivering institutional-grade multi-chain tokenization and interoperability solutions for Global Banking and Markets. The engineer will work with Canton/Daml and EVM-based blockchain ecosystems to build secure, scalable digital-asset products.
Deploy and operate ML/AI models and data pipelines for Lilly's drug discovery platform (TuneLab), spanning model serving, data-quality monitoring, and MLOps across cloud and on-prem infrastructure.
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