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The Product Manager will own the strategy, roadmap, and delivery of enterprise platforms, utilizing Agile methodologies and AI-assisted tools. The role involves managing the product lifecycle, collaborating with cross-functional teams, and leveraging cloud-native technologies.
Designs and validates AI-enabled marketing workflow architectures at HPE, bridging marketing operations with AI/ML engineering teams. Works with LLMs, RAG, generative AI, and cloud platforms to integrate AI into MarTech stacks.
The Senior Staff AI/ML Engineer will lead the architecture and operational strategy for Abbott's medical device AI platforms, bridging data science and production engineering. The role focuses on building scalable MLOps infrastructure, ensuring regulatory compliance, and mentoring teams to deploy clinical-grade AI solutions.
Builds and maintains data infrastructure for an AI biomedical research platform, focusing on ingesting, harmonizing, and serving multi-modal neurodegeneration datasets for AI tools like InsightEngine and OpenScientist.
The AI Engineer will design and deploy scalable Generative AI, Agentic AI, and machine learning solutions for the healthcare and life sciences industry. The role involves building production-grade AI applications, managing MLOps pipelines, and collaborating with stakeholders to solve complex medical and commercial data challenges.
The Forward-deployed AI Engineer embeds with internal teams to identify operational challenges and build, deploy, and maintain AI-enabled solutions using LLMs, RAG, and Azure AI technologies. This role bridges the gap between business needs and technical implementation to improve healthcare outcomes and administrative efficiency.
Designs AI-driven marketing workflows by analyzing processes, integrating AI tools, and ensuring scalable, compliant solutions for HPE’s MarTech stack.
Senior Software Engineer leading applied AI/LLM product development for GEICO's unified communications platform, building production AI agents and workflows using Python, LangChain, and related frameworks to power customer experiences across voice, chat, and contact center systems.
Lead the development of advanced AI/ML systems powering next-generation journalism at The Washington Post, focusing on AI-powered search, retrieval, ranking, content understanding, and generative AI reader experiences using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
Senior full-stack engineer designing and building enterprise healthcare software with Python, TypeScript, React, PostgreSQL, and GKE, including leading LLM integration into production applications at CVS Health in Galway.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Your Job The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry to power generative AI capabilities within our engineering design platform, translating natural-language design intent…
As an Advanced AI Engr here at Honeywell Aerospace, you will provide expert-level technical leadership in the design and development of AI algorithms, models, and systems. You will be responsible for acting as the…
Design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant Ownership of intent detection systems, contact processing pipelines, and routing logic for automation…
Designs and deploys production GenAI systems (RAG, vector DBs, LLM integrations) for a military logistics platform, ensuring AI-driven autonomy in sustainment workflows.
¡Hola! Somos Cashea 👋 y nuestra misión es devolverle a los venezolanos la oportunidad de acceder al crédito a través de un modelo de negocio BNPL (buy now, pay later). Desde nuestro lanzamiento en 2022, nos hemos…
Senior Product Manager for Applied AI at Smartsheet, owning the roadmap for specialized AI agents and evaluation infrastructure, shipping complex agent capabilities end-to-end, and defining standards for building agents. Core technologies include AI/ML concepts, agent architectures, RAG, and prompt engineering.
Designs and leads LinkedIn’s enterprise people analytics platform architecture, ensuring scalable, AI-ready data foundations for trusted analytics, reporting, and AI-driven insights across the workforce ecosystem.
The Applied AI Lead builds and deploys production-grade AI agents and automation workflows for clients in industrial sectors. This hands-on role involves integrating modern AI tooling with legacy IT and OT systems while collaborating with business stakeholders to deliver scalable solutions.
As a Senior Data & AI Engineer, you build AI-powered solutions (using LLMs, RAG) for client projects and proprietary products at a financial services consultancy, focusing on practical AI implementation like prompt engineering and reliability improvements, while collaborating with stakeholders to solve complex business problems.
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