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Outside Sales Product Specialist - Data Management At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of…
Key Responsibilities Design, develop, and maintain responsive, high-quality web applications across the full stack. Collaborate with product managers and designers to translate business requirements into technical…
Location: Remote (United States) Work Model: Remote Industry: AI infrastructure / developer tools Compensation: Competitive, set by experience level About the Company Our partner builds testing and observability…
Sie suchen ein interessantes Aufgabengebiet in einem modernen Dienstleistungsunternehmen? Die Kassenärztliche Vereinigung Nordrhein mit ihren 24.000 Mitgliedern stellt die ambulante medizinische und…
This role involves full-stack development with a focus on building AI-integrated products and user-centric design. The developer will work with LLMs, Generative AI, and modern web technologies to create responsive, AI-powered user experiences.
Principal AI Data Scientist at Anaplan in London designs and deploys advanced AI models, including generative and predictive systems, to enhance enterprise planning and decision-making using Python, LLMs, and MLOps.
Principal Data Scientist at Anaplan builds and deploys AI models, including LLMs and generative systems, to enhance enterprise planning and decision-making using Python and cloud infrastructure.
Principal Machine Learning Engineer at Anaplan builds and deploys AI features for business planning, integrating LLMs, prompt engineering, and conversational interfaces into production systems using Python and MLOps practices.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the…
Lead a team of engineers to build and deploy generative AI features, including conversational and agentic AI systems, for Anaplan's scenario planning platform.
Designs and leads AI architecture for GenAI and agentic systems to integrate with Anaplan’s enterprise planning platform, focusing on natural language interaction, multi-agent workflows, and production-ready AI solutions.
Design end-to-end solution architectures for enterprise AI Agent deployments at Parloa, integrating the platform with CRMs, ERPs, and contact center systems using REST APIs, while applying LLM/prompt engineering to shape conversational agent behavior.
Design end-to-end solution architectures for enterprise AI Agent deployments at Parloa, integrating the conversational AI platform with complex enterprise systems (CRMs, ERPs, contact center platforms) using REST APIs, and applying LLM/prompt engineering to shape agent behavior.
The DevOps Engineer (AI/ML) will design, deploy, and maintain LLM-based agent applications and cloud infrastructure for healthcare pharmacy systems. The role focuses on building scalable AI platforms, optimizing agent workflows, and ensuring reliable deployments using Python and cloud-native technologies.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Shape the future of user experience and Conversational AI with strategic design initiatives that…
This role involves building agentic AI systems to support rare disease research at the NIH, focusing on conversational workflows that capture structured data from clinical and scientific sources. The position requires extensive experience in production-grade LLM application engineering, including prompt engineering, structured output, and system evaluation.
Lead advanced ML solution development within Mastercard's AI Centre of Excellence, guiding projects from concept to production using large-scale transaction data and foundation models.
Lead Data Scientist at Mastercard building applied ML solutions (forecasting, propensity modelling, recommendations) using Python, SQL, and ML frameworks, leading technical teams from concept to production.
Design, build, and productionize LLM-powered agentic AI systems and scalable ML pipelines for conversational interfaces using Python, cloud services (AWS), and microservices at scale.
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