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An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives,…
Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across…
Requisition Number: 77391 The company built on breakthroughs. Join us. Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches…
Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy…
KEY ACCOUNTABILITIES (maximum 3 sections and 2000 words for each section) Key Accountabilities (1) AI Craft – Specialization - Apply and evaluate established and emerging algorithms under production constraints;…
Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the…
Job Requisition ID: 94786 Location Designation: Hybrid - 3 days per week Shape Your Future with a Dynamic Internship Experience at New York Life At New York Life, you'll have the opportunity to build meaningful…
Requisition ID # 174440 Job Category: Accounting / Finance Job Level: Individual Contributor Business Unit: Energy Delivery Work Type: Hybrid Job Location: Oakland Department Overview The Wildfire, Emergency and…
Design, build, and evaluate ML systems for AI safety and model evaluation applications, including reinforcement learning, LLMs, and multimodal systems, using Python and frameworks like PyTorch or JAX.
Architect and operate production-grade agentic AI systems for identity security and access management at enterprise scale, using Python, RAG pipelines, and frontier AI SDKs.
Senior AI Engineer designing, building, and deploying LLM-powered applications, retrieval pipelines, and predictive models using modern backend frameworks, SQL, and cloud environments for a San Juan-based AI solutions firm.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Design and develop large-scale ML/deep learning systems for Knowledge Q&A powering Siri and Spotlight, using Python/Scala/Go, Spark, and PyTorch/TensorFlow over knowledge graphs and web documents.
Location: San Francisco, California or Seattle, Washington Employment Type: Full time, Hybrid About the Team The Machine Learning team — internally known as "Potato Radius" — builds the training pipelines,…
Builds predictive analytics and AI/ML systems to optimize member offers, products, and services using marketing, operational, and financial data; collaborates with cross-functional teams to integrate models into eCommerce, customer portals, and internal tools.
Designs and builds AI/ML pipelines, including RAG systems and LLM integrations, to process and analyze data for intelligence missions in a fast-paced government-focused environment.
Senior Software Engineer at GRVTY in Dayton, Ohio, building Python-based tools for optical signature modeling, spectral data analysis, and ML-enabled sensor workflows for national security missions.
Build and secure AI-enabled applications using LLMs, RAG pipelines, and vector search; deploy in FedRAMP environments and ensure compliance with accessibility and adversarial testing standards.
Lead AI Engineer/Architect responsible for enterprise AI solution architecture and hands-on technical delivery of Generative AI, LLM, RAG, and agentic AI systems for a federal program in Washington, DC, with strong emphasis on NIST/FISMA compliance and security.
This senior full-stack role involves building agentic AI workflows and intelligent call-center systems using React, Next.js, Node.js, and Python. The engineer will own end-to-end development, from architecture design to production deployment of AI-driven operational tools.
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