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Build and ship AI platform features on top of MariaDB’s relational database, integrating agent frameworks (LangChain) and vector search for enterprise RAG systems.
Design and teach a next-gen data platform for a fintech SaaS that unifies due-diligence data from 150+ countries, migrating from SQL Server to PostgreSQL and adding AI-native features like vector search and semantic matching.
Builds and deploys AI/Generative AI solutions (LLMs, RAG, agentic systems) to optimize Mastercard’s pricing and interchange strategies, improving decision-making and operational efficiency in fintech.
Build and deploy generative-AI solutions using LLMs, prompt engineering, fine-tuning, embeddings, and RAG pipelines for enterprise use cases like customer service and document automation.
Design and implement scalable, secure banking solutions using cloud-native patterns, microservices, and AI integrations while balancing business needs and technology risks.
Leads enterprise-wide AI architecture strategy, governance, standards, and adoption roadmap for Smith+Nephew. Works with Generative AI, LLMs, RAG, vector databases, MCP, A2A, and cloud AI platforms like Azure/OpenAI to define enterprise AI standards and integrate with ERP/CRM systems.
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Build and operate AI-driven Digital Twin systems for electric vehicles, using Python, OpenModelica, and LLM tooling to simulate, test, and validate vehicle controls and infotainment before hardware is available.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Develops AI/ML models and data products for predictive finance, focusing on generative AI, LLMs, and scalable pipelines to support systematic portfolio management.
Build and improve ML/LLM systems that raise the quality of Glean’s AI Assistant and autonomous agents, focusing on evaluation, personalization, and production-grade execution.
Build and optimize AI models and infrastructure for a company focused on AI-driven solutions.
Build and scale real-time ad delivery systems for Expedia’s advertising network, integrating ML-driven signals to optimize bidding, ranking, and pacing while ensuring low-latency performance.
Design AI and GenAI architecture strategies for banking clients, building scalable AI/ML platforms and deploying secure, production-grade solutions using LLMs, RAG, and semantic search.
At IONOS, the leading European provider of cloud infrastructure, cloud services and hosting services, you will work together with a wide range of teams. We are characterized by open structures, a friendly working…
Designs and oversees enterprise-scale data pipelines and ontology in Palantir Foundry to power analytics and AI workflows for national-security missions.
Builds scalable Node.js/TypeScript backend services that integrate LLMs, RAG pipelines, and vector search for enterprise AI features like chatbots and intelligent Q&A.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
Build and deploy NLP models to detect financial fraud in unstructured government loan documents using Python, cloud tools, and LLMs while supporting criminal investigations.
Build the data layer for an AI agent platform: canonical models, knowledge graphs, and retrieval pipelines using Neo4j, Python, and vector databases.
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