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Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across ABC News, National Geographic, Marvel, and Disney Studios using AWS, Spark, Kafka, and big data technologies.
Architect Cisco’s AI-first agentic systems, defining long-term technical strategy for multi-agent orchestration, security, and hyperscale reliability while bridging research and production at enterprise scale.
Lead a Data Science & AI team at Synchrony Financial, prototyping and evaluating Generative AI and Agentic AI solutions (RAG, workflow automation, agentic orchestration) across AWS/Azure/GCP while driving readiness assessments and cross-functional delivery.
Directs an enterprise AI/ML engineering organization at McKesson, owning P&L, multi-year technical roadmaps, and AI/ML systems (LLMs, cloud platforms, data architecture) in a regulated healthcare environment.
Designs and builds cloud-native and agentic AI solutions on AWS, integrating LLMs, RAG, and automation to enhance enterprise applications and user experiences.
About this role: Wells Fargo is seeking a Quantitative Analytics Manager. Wells Fargo is seeking a hands-on Manager for oversight of development of Foundation models as well as Gen AI and Agentic applications…
Design and develop Agentic AI applications using LLMs, Neo4j, Knowledge Graphs, and GraphRAG in Python on a 6-month remote contract.
Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across brands like ABC News, Marvel, and Disney Studios using AWS, Spark, Kafka, and deep learning.
Design, build, and operationalize LLM-powered applications, RAG systems, and intelligent agents for automotive industry use cases, spanning full-stack development from prototype to production using Python, React, cloud AI platforms, and vector databases.
Design and build enterprise AI infrastructure components (AI Gateway, inference routing, guardrails, observability) at Barclays, using Python/Go/Java, AWS, Kubernetes, and GenAI frameworks in a hands-on platform engineering role.
Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US,…
Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world…
Builds and scales GenAI full-stack applications (RAG, intelligent agents) for clients, bridging backend (microservices) and frontend (React) while managing cloud infrastructure, CI/CD, and LLM monitoring.
🚀 Software Engineer Full-Stack | Node.js + React + IA / MCP | Barcelona (Híbrido) En Capitole seguimos creciendo y queremos hacerlo contigo 🚀 Buscamos un/a Software Engineer Full-Stack para incorporarse a una…
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make…
The ML Developer will build and scale machine learning models and data pipelines for Sber's behavioral science laboratory. The role involves fine-tuning LLMs, designing RAG architectures, and deploying production-ready AI solutions using a stack including Python, FastAPI, and various MLOps tools.
Architects AI-powered GTM systems by defining low-code and custom agentic workflows (LangGraph, LangChain) for automation, integrating Salesforce/NetSuite, and setting enterprise-grade design standards for GTM engineering teams.
Build and ship full-stack systems and AI agents for a GenAI platform used by physicians to accelerate diagnosis and treatment decisions in healthcare.
The Application Security Architect will lead security initiatives, focusing on secure SDLC, cloud infrastructure, and AI security. The role requires extensive experience in threat modeling, API security, and modern authentication protocols.
Lead a team of senior engineers building AI-driven sales systems, including LLM orchestration, Salesforce integrations, and agentic workflows for a fast-growing SaaS company.
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