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The Senior Applied AI/ML Scientist will architect and deploy production-grade LLM agentic workflows and retrieval systems to process real-time news data. The role focuses on building scalable, observable AI features while driving evaluation standards for accuracy and performance in a media intelligence context.
The AI Automation Engineer will design and deploy autonomous AI agents and workflows to automate business, supply chain, and manufacturing processes. The role utilizes Python, LLM orchestration frameworks like LangChain, and Azure/Microsoft Fabric to build production-grade agentic systems.
Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, is building intelligent automation and decision-support systems for telecom-scale…
Навыки: Python, Keras, TensorFlow, PyTorch, Машинное обучение, Linux, Docker, Git, Bash. Квалификация: Lead. Специализации: Промпт-инженер. Дневник.ру входит в ТОП-10 мировых образовательных платформ по посещаемости.…
The AI Architect will lead the design and implementation of enterprise-scale AI and Generative AI solutions, serving as the technical authority for AI initiatives. The role involves defining architecture roadmaps, establishing governance standards, and mentoring teams using technologies like LLMs, RAG, cloud platforms, and MLOps.
Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
abra professional services is seeking a Senior Generative AI Engineer! This is a hands-on role combining deep technical expertise with strategic thinking to design, develop, and implement advanced Generative AI…
GenAI Developer building and deploying LLM-based applications, RAG solutions, and AI-powered microservices on AWS (Bedrock, SageMaker, Lambda, ECS/EKS).
About the Role We are looking for a highly motivated Python Developer with 3–5 years of hands-on experience in designing, developing, and deploying scalable backend applications. The ideal candidate should have strong…
Job Overview At TE, we strongly believe that data and AI are strategic drivers for future success. We are building a world-class advanced analytics team that will solve some of the most complex strategic problems and…
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
Build and own AI agent infrastructure and automation systems that integrate LLMs with internal tools and data platforms to streamline marketing operations at scale.
Builds and optimizes server-side AI skills for a desktop personal assistant that automates routine tasks using LLMs, computer vision, and UI parsing across Windows/macOS/SberOS.
The AI Engineer will design, develop, and deploy AI-powered solutions, focusing on Generative AI, LLMs, and MLOps. The role involves building scalable applications using Python and integrating them into enterprise systems via APIs.
The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions, including Generative AI and LLM-based applications. The role involves building MLOps pipelines, integrating AI into enterprise systems, and collaborating with cross-functional teams to drive business value.
Lead the architecture and implementation of enterprise-scale AI systems combining generative AI, autonomous agents, and knowledge graphs using Python, LLM frameworks, and graph databases like Neo4j or Amazon Neptune.
Software engineer building Python-based AI/LLM applications, RESTful APIs, and microservices with Docker/Kubernetes CI/CD pipelines at Cisco's Customer Experience engineering organization.
Cloud-Native Solutions Architect designing and leading cloud-native application architectures, driving modernization to microservices/serverless, and integrating AI/LLM capabilities for a Belgian digital consultancy's client projects.
Senior DevSecOps Engineer responsible for architecting and maintaining high-security infrastructure for an enterprise-grade Agent Development Platform, using AWS, Firecracker MicroVMs, Kubernetes, and various database technologies to ensure secure agent execution and data protection.
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