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Position Title - AI & Automation - Senior Developer (Data Engineer) Job Description:- Must have skills: Strong analytical data warehouse, & data mesh design implementation experience using star schema/facts and…
Role: Senior Full Stack Engineer – Backend Leaning Location: Gurugram, India / On-site Type: Full-time Experience: 3–5 years Reports to: Founder About the Role: AdSynergiX is a performance AdTech company operating…
Stiamo costruendo il sistema operativo degli studi sanitari 🩺 Negli studi sanitari, agenda, cartelle cliniche, documenti, pagamenti e comunicazioni vengono ancora troppo spesso gestiti attraverso strumenti separati e…
NTT DATA es una consultora multinacional que ofrece soluciones tecnológicas, de negocio, estrategia, desarrollo y mantenimiento de aplicaciones, siendo un referente en consultoría. Digital Technology es la unidad…
🚀 About us mscope is a 𝗳𝗮𝘀𝘁 𝗴𝗿𝗼𝘄𝗶𝗻𝗴 𝗳𝗶𝗻𝘁𝗲𝗰𝗵 applying 𝗽𝗿𝗼𝗽𝗿𝗶𝗲𝘁𝗮𝗿𝘆 𝗔𝗜 to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their…
A lead engineer building and deploying intelligent voice and messaging AI agents for healthcare clients, handling data ingestion, CRM integration, real-time infrastructure, and HIPAA compliance, using TypeScript for agent runtime and Python for ML, with a focus on client-facing workflows and production systems.
Who We Are NEVERHACK es un grupo francés especializado en ciberseguridad con más de 40 años de experiencia. Con presencia en 10 países y más de 1200 empleados, protegemos a empresas y particulares frente a amenazas…
Designs and scales GenAI solutions (RAG, agentic workflows) for real-time customer insights and compliant knowledge creation in healthcare operations, collaborating with global teams on secure, scalable AI products.
Builds and deploys ML, GenAI, and agentic workflows to extract insights from diverse datasets, improving operations and customer experience at a global hearing-care leader.
Principal AI Engineer designs and builds enterprise-grade AI systems on AWS, leading architecture, LLM integrations, and production deployment for clients across multiple industries.
Staff Data Engineer at an applied AI engineering consultancy, designing and building enterprise data platforms (lakes, warehouses, pipelines) on AWS with a focus on real-time processing and AI/ML data flows.
Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial…
ABOUT BASELAYER Every business in America needs a bank account to exist. The system that decides whether they're real, who's behind them, and whether they're a risk, runs on infrastructure from the 1980s.…
Senior AI Engineer in Metropolis' Applied AI team, working as an internal forward-deployed engineer who turns business processes (Go-To-Market, Finance, Operations) into AI-first workflows. Day to day: building LLM systems (prompts, agents, RAG), data pipelines into Snowflake, and owning production reliability — onsite in Los Angeles 4 days a week.
Build and deploy large-scale generative AI models for Pinterest’s visual search and creation tools, focusing on diffusion-based text-to-image systems and multimodal embeddings.
Design and train large-scale computer vision models to power Pinterest's visual search, recommendation, and generative features using multimodal datasets and PyTorch.
Lead a team of ML researchers and engineers to build next-gen recommendation systems at Pinterest, turning cutting-edge research into production-scale solutions that drive core business metrics.
Lead the backend architecture for Pinterest’s AI-powered visual assistant, designing scalable systems for multimodal conversational experiences, memory, and tool integrations.
Staff Product Manager to shape Pinterest’s applied AI/ML platform, balancing innovation and scale by defining roadmaps and aligning research, engineering, and product teams.
¿Te apasiona convertir datos en soluciones que generan impacto real? ¿Has trabajado desarrollando modelos de Machine Learning y además creando soluciones con IA Generativa y agentes inteligentes? Entonces queremos…
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