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Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Build and deploy ML systems for sports-tech products, including recommender engines, NLP, LLM apps, and semantic search, using Python, PyTorch, and SQL at scale.
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Build AI-powered assistants and agents to automate IT infrastructure operations, troubleshooting, and engineering productivity using Python, RAG, and cloud-native tools.
Build and maintain full-stack applications with AI capabilities, using modern AI tools and LLMs to prototype, deploy, and secure enterprise software for mortgage-related workflows.
Build and deploy AI-powered applications (LLMs, agents, RAG) using Databricks and modern frameworks to automate workflows and enhance decision-making across SEGA’s games business.
Design and build AI/ML solutions, including RAG systems and agentic workflows, using Python and cloud services while collaborating in an agile environment.
Full Stack Developer building secure, cloud-native applications in Python, TypeScript, and React for a UK Defence Intelligence programme, integrating with MOD systems and supporting AI-enabled search.
Build and deploy LLM-powered systems, including retrieval pipelines and agentic AI, to extract insights from unstructured data using Python and PyTorch.
Lead the architecture and delivery of scalable flight-shopping platforms at Expedia, integrating AI/ML systems to improve search, pricing, and personalization for travelers.
Builds enterprise AI search systems using Elasticsearch, RAG, and LLMs, plus full-stack React/Node.js apps in AWS/Azure.
Builds and optimizes high-performance vector search systems for Amazon OpenSearch, focusing on ANN algorithms, GPU acceleration, and billion-scale datasets.
Build and optimize an AI-powered document compliance platform using Vision-Language Models to verify building permits against codes, integrating FastAPI, React, and Azure cloud services.
Lead the architecture and development of an AI-powered, secure CPQ platform, guiding cross-functional teams to integrate GenAI workflows while balancing security, scalability, and go-to-market timelines.
Build AI-powered analytics tools that let business users query data conversationally using LLMs, RAG, and agentic frameworks like LangGraph.
Build and deploy LLM-powered applications for federal systems using RAG, vector databases, and AWS Bedrock/Python, focusing on scalable, secure GenAI solutions.
Lead a team of data analysts to build AI-augmented Power BI dashboards and SSAS Tabular models for commercial real estate analytics, using SQL, Snowflake, and Microsoft’s BI stack.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
Build and deploy advanced search, ranking, and recommender systems using LLMs and vector embeddings to deliver personalized financial insights for hedge funds and banks.
Build and deploy advanced search and recommendation models for a finance-focused GenAI platform, using NLP, embeddings, and vector databases to power financial professionals' decision-making.
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