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Senior Data Scientist builds and deploys ML and LLM-powered apps for healthcare clients, turning EHR, claims and clinical data into predictive models and AI workflows that improve patient outcomes and operations.
Principal AI architect designs secure, scalable AI platforms and reusable patterns for an insurance group, guiding GenAI agents, RAG, and enterprise integrations from concept to production.
Lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines for UK Defence, ensuring compliance with JSP 936 standards.
About Artic Consulting Artic Consulting is a Microsoft-focused consulting partner helping clients modernize applications, data platforms, cloud operations, and business workflows through Microsoft cloud, AI,…
About Us Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health…
Lead a data-science engine to build and deploy ML models that optimize ad spend and ROAS for an AdTech media company, using Python, SQL, and AWS.
Principal Software Engineer leads architecture and AI integration for Growth Studio, an AI-first platform for government contractors, guiding teams on scalable services, data pipelines, and AI-powered workflows in TypeScript/JavaScript.
Build and deploy ML models to optimize ad spend and user acquisition for a media company, focusing on ROAS and lead quality using Python, SQL, and AWS.
WHO ARE WE? Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion…
Build and deploy LLM-powered AI agents and real-time augmentation systems for contact centers using RAG, multi-agent orchestration, and evaluation frameworks.
Build and deploy next-gen AI agents and real-time agent-assist systems using LLMs, RAG, and multi-step workflows to power customer-experience platforms for enterprises like United Airlines and Marriott.
Build and lead next-gen agentic AI systems at a Stanford-born AI company, designing scalable LLM workflows, robust evaluation frameworks, and real-time agent augmentation for enterprise contact centers.
Build end-to-end data pipelines, ML models, and predictive analytics for customer retention, pricing, and segmentation using Python, SQL, and AWS.
Build and lead production ML systems for recommendation, ranking, and optimization that serve millions of customers with low latency, while setting technical direction and mentoring engineers.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
Maintain and scale Apple’s multi-cloud data and AI platform, ensuring reliability for internal teams building ML/AI services like Ray, LLM agents, and vector stores.
Design AI and GenAI architectures for banking clients, moving solutions from proof of concept to secure production deployment using LLMs, RAG, and Agentic AI.
Build and deploy Generative AI, Computer Vision, and ML solutions for heavy industries, embedding with customers to architect production-ready systems and guide implementation.
Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
Lead the development of agentic AI systems that reason, plan, and act, collaborating with engineers and data scientists to turn cutting-edge AI concepts into production-ready workflows.
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