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Beamy mesure l'usage réel de plus de 50 000 applications auprès de 500 000 utilisateurs au sein de grandes entreprises, grâce à une extension navigateur déployée à grande échelle. Chaque jour, des millions de…
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than…
Designs and deploys AI solutions for enterprise clients, focusing on GenAI, RAG, and agentic workflows while balancing technical, business, and operational needs.
Designs and leads end-to-end AI solutions (GenAI, ML, NLP) for clients, deploying across cloud, sovereign cloud, and on-premise environments while ensuring scalability, security, and compliance.
Builds AI solutions (NLP, LLM, AI agents) for Sberbank’s strategy and development unit, integrating production-ready multi-service architectures into internal systems.
Builds and deploys AI/NLP models and LLM-based solutions to unify bank data, classify documents, and power AI-driven strategic decisions for executives.
LLM engineer builds and optimizes AI tools for legal document analysis using Python, NLP models, and retrieval pipelines in a Moscow-based team.
Builds AI agents and NLP pipelines for a large bank, using LLM frameworks and classic ML to automate internal processes and support strategic decision-making.
Senior NLP/ML Engineer builds AI agents for legal automation, fine-tuning large language models and structuring legal knowledge using Python and prompt engineering.
Develops AI agents and multimodal solutions using LangChain/LangGraph, integrates LLMs into products, and contributes to open-source projects in a Moscow office.
Design and implement the infrastructure for enterprise-grade AI agent systems, integrating LLMs, tools, and governance controls while working directly with customers to deploy production-ready solutions.
Leads the design and scaling of a modern data platform for a B2B e-commerce workflow system, using Snowflake, Kafka, dbt, and AWS to enable AI agents and self-serve analytics.
Build and maintain AI-powered backend applications for a global financial client using Python, LLM frameworks, and Azure OpenAI in a collaborative team.
Senior AI Engineer designs and builds production-grade AI solutions, including AI agents, LLM-based apps, and RAG systems, using Python, React, and AWS AI/ML services like Bedrock and SageMaker.
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology…
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range…
Senior engineer designing and deploying AI-powered agent solutions for enterprise clients using Salesforce's Agentforce platform, handling end-to-end technical delivery and mentoring teams.
Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop,…
Principal Engineer - Front/Back-End Development, Azure, CI/CD & AI/Cloud Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with…
Job Description: DXC Technology is looking for a Data Scientist Consultant to support AI and Generative AI projects , contributing to practical solutions and improving business processes through ML models, NLP and…
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