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Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Design and build scalable AI platforms for healthcare, focusing on LLMs, RAG, multi-agent systems, and model routing to improve clinical decision-making and patient care.
Build production-ready AI apps for enterprises using LLMs, RAG, AI agents and workflow automation, integrating them into existing systems.
Build and scale enterprise-grade financial tools using Java, Python, Spring, and React; integrate AI-driven automation and cloud-native pipelines for Citi’s operations.
Build and lead full-stack systems for Citi’s operations, integrating agentic flows, AI tools, and enterprise applications using Java/Python, React/StreamLit, and cloud-native stacks.
About the Role The Arctic Wolf security operations platform ingests and processes upwards of 600 billion events a day from a wide variety of on-premise devices and cloud platforms. The security pipeline is a…
Build and maintain scalable data pipelines for Roche’s pharma R&D, integrating clinical trial systems and AI/ML infrastructure using Python, Spark, and vector databases.
Lead the design and deployment of enterprise-scale AI/ML and LLM solutions, including generative AI, RAG, and knowledge graphs, while mentoring teams and ensuring Responsible AI compliance.
Build and scale enterprise-grade full-stack apps using React, Node.js, and cloud services, integrating AI features like copilots and RAG while ensuring performance and security.
Build and orchestrate AI tools to improve cybersecurity service delivery, combining local and cloud-based models for hybrid solutions while collaborating with security experts.
Lead the design and delivery of enterprise-grade generative AI systems using agentic architectures, RAG pipelines, and cloud-native tooling to solve complex business problems for global clients.
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
Company: Marsh McLennan Agency Description: We are seeking a talented individual to join our MMA team at Marsh. This role will be based in Pune/Mumbai/Gurgaon. This is a hybrid role that has a requirement of working at…
Job Description Summary We are looking for a highly skilled Senior Staff AI & Cloud Solution Architect to lead the design and development of scalable AI platforms and intelligent solutions on AWS. This role…
Build and maintain an AI platform on Google Cloud for an insurance company, deploying GenAI/ML services, vector search, and agentic frameworks to power enterprise teams like Actuarial and Underwriting.
Builds and deploys LLM-powered assistants, RAG pipelines, and agent workflows using Python, TypeScript, and AWS services to deliver secure, scalable GenAI solutions for Amgen’s internal productivity and healthcare applications.
Build and deploy LLM-based generative AI systems to extract insights from unstructured healthcare data, improving strategy, efficiency, and customer experience.
Build and structure an internal AI services catalog, integrating NLP pipelines and RAG-based Gen-AI services using Python, Azure OpenAI, and cloud-native tools.
Leads enterprise AI solution design and delivery within the Microsoft ecosystem, translating business needs into scalable, secure AI architectures and overseeing client engagements.
As the Manager of the CORP_Global Technology_Enterprise AI and Advanced Tech department, you will play a pivotal role in shaping the future of AI-powered solutions. Your primary focus will be to lead a team of talented…
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