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Responsibilities About the Team We are dedicated to building the training infrastructure for ultra-large-scale language models, vision-language models, and frontier agentic models. Our mission is to provide a robust,…
Responsibilities About The Team We believe the services and community we've built can not only transform how people are inspired on the platform, but also transform how businesses from different industries, big or…
Build and deploy AI models to enhance real-time communications infrastructure, focusing on voice, messaging, and emergency services.
Build and deploy AI models to enhance Comcast’s media and technology products, platforms, and customer experiences.
GHR AI Engineer - Agentic Integrations (MCP / A2A / Python / APIs) Corporate Functions Technology Reports to: Managing Director, Corporate Functions Technology Role Overview The GHR AI Engineer - Agentic Integrations…
Responsibilities Our Team is building AI infrastructure and developer platform capabilities used by approximately 500 engineers. The team supports AI-native software development by improving shared tooling, platform…
Build and deploy production-grade LLM and NLP systems that turn multilingual news, economic events and market narratives into real-time, explainable market intelligence for financial institutions.
Builds and maintains data pipelines, automates workflows, and develops AI/ML services using best practices in data engineering and version control.
Build and ship production-grade AI systems—LLM apps, RAG pipelines, and multi-agent workflows—into Nexthink’s cloud platform while defining evaluation, MLOps, and scalable cloud architectures.
Build and deploy production-grade generative AI solutions using Azure OpenAI, RAG architectures, and agentic frameworks while ensuring security, observability, and governance.
Lead AI Engineer builds and scales production AI systems, driving 0→1 product initiatives and full-stack architectures for a fast-growing tech company.
Build, deploy, and optimize production AI systems including LLMs and generative AI models, focusing on inference pipelines, performance, and cost efficiency.
Lead architecture and deployment of production AI systems, optimizing inference pipelines and mentoring engineers in a fast-growing company.
Lead the design and implementation of production-grade agentic AI systems and AI-augmented software workflows using Python, LangGraph/LangChain, and tools like Claude Code.
Build and refine AI agents for real-world workflows, working with cutting-edge LLM frameworks and agent orchestration tools.
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Build and optimize AI solutions that query Siemens Teamcenter and Oracle databases using Python and SQL to digitize manufacturing and engineering processes.
AI Engineer Stockholm · Full-time · About At Uniplay, our vision is simple: Make Corporate Learning Fun. We're building something different — an AI-native company where games, data, and hyper-personalisation…
Build and deploy AI models to enhance investment and savings solutions for M&G’s Asset Management and Life segments.
Develop and implement AI-driven solutions to automate processes and enhance services within a higher-education digital transformation program.
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