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Build and maintain web apps using React, Python/Node.js, and AWS; integrate generative AI and cloud services to support healthcare workflows.
Builds custom AI applications, RAG pipelines, and integrations for a law firm, translating legal workflows into production-grade AI solutions using Python, LangChain, and Azure.
Build and maintain scalable document parsing pipelines and multimodal AI systems to extract, index, and retrieve content for GenAI applications on Azure.
Обязанности: Разрабатывать системы анализа здоровья: наше ключевое направление AI, который помогает пользователю понять своё состояние и вовремя дойти до врача; Внедрять AI-фичи в продукт и в компанию: интеграция LLM…
CDI - Data Technical Manager (H/F) Location: PARIS, Île-de-France, France Artisans contemporains depuis 1837, nous devenons également artisans du code ! Hermès Digital développe, maintient et met à disposition la…
Consultant builds AI and ML models to automate compliance workflows, regulatory monitoring, and risk analysis for clients, using Python, LLMs, and cloud platforms.
POSITION SUMMARY We are seeking an experienced Senior AI Engineer to design, develop, and deploy next-generation AI-powered products and intelligent systems. This role will play a critical part in shaping the…
Design and evangelize AI/ML solutions on Snowflake’s AI Data Cloud, partnering with customers and internal teams to scope POCs and drive technical wins using Python, LangChain, and generative AI techniques.
Required Skills 10 years of experience in software architecture, AI/ML, or enterprise application development . 3 years of hands-on experience with Generative AI / LLM technologies . Strong understanding of LLMs,…
Build and refine an agentic AI platform for healthcare finance, designing standardized tool interfaces, eval harnesses, and context layers to power reliable, production-grade AI agents.
Principal Architect designs a next-gen conversational AI platform that replaces search with intelligent dialogue, orchestrating LLMs, agents, and real-time travel data to deliver personalized recommendations through natural conversation.
Build and deploy production-grade generative AI systems using LLMs, RAG pipelines, and agentic architectures on AWS Bedrock and other platforms.
Build an AI-powered semantic graph that turns raw enterprise data into actionable insights, using LLMs and agentic workflows to drive autonomous business decisions.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Designs and delivers AI-native solutions using LLMs, agents, and MCP connectors, translating business needs into scalable, production-grade AI architectures.
Build and deploy ML/AI models end-to-end, from data exploration to production, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/GCP/Azure.
Build and deploy AI automation pipelines and agentic systems using Python, LLM APIs, and AWS to solve defense-related tasks for a Ukrainian government-focused tech company.
Lead the development of advanced AML detection systems using machine learning, neural networks, and LLMs to identify financial crime typologies and red flags for Wise’s global platform.
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