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Senior DevOps Engineer owning the operational stability of an internal cloud Big Data platform built on IONOS infrastructure, using Kubernetes, Terraform, ArgoCD, and open-source data tools with L2/L3 support duties.
Leads AI platform development for a fintech company, designing agentic AI systems, LLMOps pipelines, and compliance controls while mentoring engineers and shaping technical direction.
Design and build production-grade AI agent systems using LangGraph, CrewAI, and MCP, deploying on Azure/AWS while enforcing structured outputs, evaluation pipelines, and Responsible AI guardrails.
Lead a team building secure, scalable cloud-native systems for JPMorgan’s Securities Services using Python, Kubernetes, and Terraform to deliver market-leading fintech infrastructure.
Build AI agents and multi-agent workflows to automate clinical data programming and regulatory submissions, using Python/R, LangGraph, and advanced RAG in a GxP-regulated healthcare environment.
Lead AI Engineer designing and implementing GenAI solutions, RAG architectures, and intelligent agents for a public-sector project in Madrid, using Python/Java/.NET, Docker, Kubernetes, and ITSM integrations.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
Lead the design of secure, governed AI systems for GenAI and agentic platforms, embedding Responsible AI principles into production architectures and assurance frameworks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
Build and productionize AI agents and self-service analytics tools for Thomson Reuters' Tax, Audit & Accounting portfolio, working with LLM APIs, RAG pipelines, and vector databases in Python and SQL.
Lead end-to-end AI/ML development for payments, building generative and agentic systems on cloud infrastructure while ensuring scalable, secure, and compliant production deployment.
The Data Scientist will develop machine learning models for traffic forecasting and build generative AI solutions like chatbots and RAG architectures to support airport operations. The role involves managing the full lifecycle of models, from development to production, while collaborating with business teams to integrate these tools into decision-making processes.
Join us as a Lead AI Engineer and play a key role in shaping the future of AI across Customer Operations. We're looking for a technical leader who enjoys solving complex challenges, building innovative AI products…
We're looking for a hands-on AI Engineer who is passionate about turning emerging AI technologies into practical solutions that deliver real business value. Working within our Customer Operations team, you'll…
Builds and maintains the cloud-based AI platform that powers Five9's contact center AI solutions, including infrastructure, MLOps, security, and CI/CD pipelines.
Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our…
Senior Data Scientist owning the full ML production lifecycle—scaling deep learning models from R&D to reliable production systems, building data/feature pipelines, and establishing MLOps standards. Core stack includes Python/Go/Java, GCP (Vertex AI, BigQuery), Docker, Kubernetes, and MLflow/Kubeflow.
DevOps Engineer leading AI infrastructure in Madrid, focused on containerized deployments and LLMOps using Docker, Kubernetes, Ollama, LangChain, and CUDA Toolkit with Python and Java.
Data Scientist developing, deploying, and monitoring machine learning models on-premises and in the cloud (AWS/Databricks) using Python and SQL at a Philippine telecom company.
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