Match Group AI Team Introduction Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, and more .…
Overview Join our Indoor GIS team as a Senior Software Developer and help shape the future of how people understand, navigate, and interact with the built environment. You will lead the development of advanced Indoor…
Overview Join our Indoor GIS team and help shape the future of how people understand, navigate, and interact with the built environment. We are building AI-powered capabilities that bring intelligence to indoor spaces,…
A Staff Software Engineer at Thomson Reuters who leads technical direction for AI-enabled software initiatives, designs enterprise-grade architectures, optimizes cloud resource costs, and mentors engineering teams across the end-to-end development lifecycle. Core technologies include .NET, C++, C#, ASP.NET, REST APIs, SQL/RDBMS, CI/CD, DevOps, and public cloud infrastructure (AWS).
AI/ML Engineer at Dassault Systèmes R&D designing, developing, and maintaining generative AI applications using LLMs, ML models, agentic AI workflows, and RAG systems.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
Overview Join our team in building the next generation of AI capabilities across our geospatial software products, supporting indoor mapping and reality, roadway and utility GIS, and system observability solutions. Our…
Overview Esri’s Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS platform. In this…
In this role, you will lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to…
Location: New York, NY or San Francisco, CA (Hybrid / On-site) Employment Type: W-2 Contract or Full-Time (Must be authorized to work on W-2 in the US without sponsorship) Experience: 3+ Years Job Summary Our client is…
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits…
We are looking for an experienced Manager, Data Science to lead the development and delivery of advanced data science solutions across pricing optimization, customer segmentation, marketing analytics, Bayesian…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers…
Software Engineer / Application Developer at DUIT, a Maryland-based AI and cybersecurity firm, supporting an AI-enabled platform in a federal/DoD environment. Day-to-day work involves troubleshooting defects, optimizing AI models, deploying secure fixes with TypeScript, Node.js, and AWS technologies, and maintaining compliance with government security requirements.
Role Purpose Building production systems powered by software engineering, data science and modern AI. We are seeking a hands-on Senior Applied AI Software Engineer to design, build and deploy production systems that…
Guidance Forward AB is looking for an AI Engineer / Data Scientist to work in the Gothenburg area, Sweden. Work arrangement Hybrid – our office is at Furumossen 43347 Partille. Depending on project requirements, work…
Fine-tunes and improves self-hosted large language models powering personalised AI conversations, working with open-weight models, training datasets, evaluation frameworks, and GPU-based training from experimentation through production deployment.
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