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Designs and scales Databricks' next-generation AI-powered search platform, combining vector, keyword, and hybrid retrieval to power enterprise knowledge management and AI applications.
Senior engineer builds and tunes hybrid search systems that power both human users and AI agents, blending keyword and vector retrieval with relevance metrics like nDCG and MRR.
Builds and optimizes search systems that power both AI agents and human users, focusing on hybrid retrieval, ranking models, and relevance metrics using Lucene/Elasticsearch and embeddings.
Senior role troubleshooting and optimizing GenAI/ML workloads on Databricks, advising customers on AI agents, vector search, and model serving while collaborating with engineering teams.
Leads the technical vision for Databricks' search ranking, relevance, and evaluation systems, blending keyword, vector, and hybrid retrieval to improve enterprise AI applications.
Senior Data Scientist builds ML models to predict and reduce customer churn for a meal-delivery marketplace, using Python, SQL, and MLOps to power personalized retention campaigns.
Build and deploy a production-grade RAG system and AI chatbot using Python, FastAPI, and agentic frameworks like LangGraph, integrating LLMs and vector databases.
Lead a team of data scientists to build and deploy ML solutions like GNNs, LLMs, and fraud detection models for Crunchyroll’s anime platform, guiding ML pipelines and infrastructure.
Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely…
Builds AI-driven development pipelines and agentic workflows using MCP, JavaScript/TypeScript, and Python, while advising clients on AI tool adoption and greenfield solutions.
Builds and integrates AI models, particularly LLMs, for aerospace/avionics applications using Python and generative AI techniques.
Build and deploy AI-powered healthcare platforms using LLMs, full-stack development, and MLOps in a remote role for a health-tech company.
Principal AI/ML Engineer at Vumedi builds and leads next-gen AI-powered discovery systems for physicians, using LLMs, semantic search, RAG, and recommendation engines to deliver personalized medical education content.
Senior Platform Engineer designs and scales cloud-native infrastructure, implements IaC and observability, and embeds SRE practices for reliability at Focused, a DevOps-focused consultancy.
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…
Builds and deploys production-grade AI/ML systems (classification, document understanding, RAG, LLMs) to automate compliance workflows and improve developer efficiency at a fintech company processing billions of transactions annually.
Consults clients on AI-driven process transformations, designing and deploying generative AI solutions (LLMs, agents, RAG) to solve business challenges while collaborating with tech teams on cloud, DevOps, and system integrations.
Builds and maintains production AI inference systems, optimizing latency, reliability, and cost for real-time model-to-user interactions via scalable APIs.
A Full-stack Engineer at EverHelp builds end-to-end features for AI-powered customer service products, including frontend (React/Next.js), backend (Node.js/Python), and AI components like agents and RAG systems, while designing high-load scalable systems and maintaining code.
Build production-grade generative AI systems for legal use cases using LLMs, RAG, and agentic workflows while ensuring reliability, security, and compliance.
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