About Inari Inari is the SEEDesign company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation – to push the boundaries of what is possible. Through our unrivaled
Expected Travel: Up to 10% Requisition ID: 14096 About Teleflex Incorporated As a global provider of medical technologies, Teleflex is driven by our purpose to improve the health and quality of people’s lives. Through our vision
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment
Industry/SectorNot Applicable SpecialismDeals Management LevelSenior Associate Job Description & SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help
While urbanized mesoscale models or offline urban canopy models provide computationally efficient estimates of urban climate, they often lack the spatial granularity needed for site-specific urban design. We aim to bridge this gap by using QGIS/UMEP
Traditional CFD solvers are too slow for iterative design applications, requiring days to evaluate a single urban design variant. Fraunhofer IBP is pioneering the use of Deep Learning emulators to provide high-fidelity microclimate predictions at speeds
Hands-on Data Engineer / API Integration Developer to help build and support modern data pipelines, system integrations, automation workflows, and internal web applications. This role will work across business systems, cloud platforms, databases, APIs, and AI-assisted development
Vice President in Asset Management Operations As a Vice President in Asset Management Operations, you will own the end-to-end investor and fund lifecycle for complex alternative investment strategies spanning hedge funds, private equity, and private credit.
Inari Agriculture, Inc. is seeking a Staff Machine Learning Engineer to join our AI Team. You will build and productionize ML pipelines, collaborate with computational biologists and software engineers, and drive major workstreams with autonomy in
About the role Inari is seeking a Staff Machine Learning Engineer to join our AI Team in support of our mission of transforming agriculture through predictive design and advanced gene editing. This role will focus on
Key Responsibilities: • Own and improve the reliability, availability, observability, and operational supportability of Maximus UKs Azure Databricks platform, Azure data services, and associated data pipelines and data products. • Design and implement monitoring, alerting, health checks,
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS220, T4, Band 7 Job-Specific Essential Duties and Responsibilities: - 7+ years of system administration experience within enterprise IT environments - Execute CVE-based patching by severity
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
What You Can Expect Develop trusted GTM and Product analytics that guide revenue, retention, and growth decisions at Zoom. Collaborate with Sales, Customer Success, Finance, and Product teams to translate complex business questions into clear, actionable