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Design and build production-ready AI systems, including agentic workflows and retrieval pipelines, while coding half the time and partnering with clients to ensure secure, scalable, and compliant deployments.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
모집 분야 Microsoft 365 운영 및 AI 기반 업무혁신·자동화 엔지니어 Microsoft 365 업무 환경을 안정적으로 운영하면서, 생성형 AI와 AI Agent를 활용하여 조직의 업무 프로세스를 개선하고 자동화합니다. 단순한 AI 도구 도입을 넘어 실제 업무에 적용 가능한 AI 서비스를 기획·개발하고, 이를 안정적으로 운영할 수 있는 AI Infra 및 DevOps 환경까지…
Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with…
Kroll is hiring a Data Scientist to join its Enterprise Data Group. This role is ideal for an early- to mid-career practitioner who is eager to develop deep expertise across the ML lifecycle while contributing to…
Leads cloud-native AI platform architecture at Experian, designing scalable, secure, and agentic AI systems on AWS while defining DevOps standards, infrastructure, and SLOs for global fintech operations.
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 production-grade AI agents using LLMs, agent orchestration frameworks, and enterprise systems to automate complex workflows via natural language interactions.
Architect and lead AI-driven product development, defining roadmaps and KPIs while integrating LLMs, vector DBs, and cloud-native systems for enterprise clients.
Senior architect designing and delivering AI-first, cloud-native applications and solutions for Microsoft’s Global Center Innovation and Delivery Center, focusing on full-stack engineering, AI integration (Azure AI services, GitHub Copilot), and scalable DevOps practices.
Build, deploy, and maintain AI/ML models and services, including Generative AI and RAG systems, using Python, PyTorch, and cloud-native tools.
The AI Engineer will design, build, and deploy enterprise-grade Generative AI applications, including RAG solutions and agentic workflows, to support digital transformation. The role involves hands-on development with LLMs, Python, and cloud AI platforms while ensuring system performance, safety, and governance.
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
Build and deploy generative AI features and full-stack apps to modernize Barclays’ platform, using Python/Java, cloud-native tools, and enterprise-grade security.
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
Lead hands-on design and delivery of AI solutions, agents, copilots, and RAG workflows using Azure AI and Databricks, while establishing reusable engineering patterns and guiding teams from prototypes to production.
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