AI 工程师 AI Engineer (Remote)
Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
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Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. Your role will involve owning the full development lifecycle, from architecture and testing to deployment and monitoring.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. Your role will involve owning the full development lifecycle, from architecture and testing to deployment and monitoring.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with data scientists and ML engineers to integrate these models into scalable backend systems. Additionally, you will design intuitive UIs and own the full development lifecycle from architecture to monitoring.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver polished solutions. Your role will involve owning the full development lifecycle and continuously improving AI-integrated applications.
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Build and deploy full-stack applications that incorporate machine learning models and develop APIs and backend services for intelligent features. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
Build and deploy full-stack applications that incorporate machine learning models and develop APIs and backend services for intelligent features. Collaborate with cross-functional teams to deliver polished, end-to-end solutions while continuously improving application performance and usability.
Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
The Software Engineering Lead will own the technical delivery and outcomes of AI-driven features from design through production. This role involves driving planning and prioritization for AI initiatives and building and deploying AI systems.
Design and evolve the architecture for AI-driven systems across the Consensus platform. Collaborate with the Intelligence team to define how AI capabilities integrate throughout the product.
Lead technical discovery and demos during early-stage calls with Account Managers. Deliver tailored live demos and translate customer pain points into relevant AI-powered solutions.
The Senior Software Engineer will be responsible for designing, developing, and maintaining feature buildouts to support a world-class user experience. They will also ensure system stability and reliability while participating in code and design reviews.
The Security Engineer will lead the design of secure operations for Harness' cloud and business infrastructure, implementing and overseeing security tooling. They will also collaborate with engineering teams to enhance security processes and respond to security incidents.
Lead the design and development of backend systems that enable scalable AI solutions for over 167,000 customers. Drive the integration of large language models into production systems to power AI agents for real-time customer experiences.
As a Gartner Analyst, you will create and advise on a portfolio of Gartner research, providing insights and actionable advice to clients in cybersecurity roles. You will also support sales efforts and engage with clients to help them overcome barriers and drive strategy forward.
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As a Gartner Analyst, you will create and advise on a portfolio of Gartner research, providing insights and actionable advice to clients in cybersecurity roles. You will also support sales efforts and engage with clients to help them overcome barriers and drive strategy forward.
As a Gartner Analyst, you will create and advise on a portfolio of Gartner research, providing insights and actionable advice to clients in cybersecurity roles. You will also lead interactions to identify client needs and support research and sales efforts.
Lead the technical architecture and implementation of key product features for LangSmith. Collaborate with product and design teams to build new features while ensuring high engineering standards are met.
The Metadata Analyst will manage day-to-day activities to ensure catalog and metadata processes run smoothly, answer queries from various teams, and complete metadata audits. They will also help define requirements and standards for the metadata repository and reconcile collected data with authoritative metadata sources.
The Mobile Software Engineering Director will oversee iOS and Android mobile app development for various initiatives and IoT connected products. They will guide the team in setting strategies, ensuring alignment with company goals, and removing roadblocks to enhance team performance.
Contribute to the design, development, and maintenance of scalable and performant solutions for experimentation and data-driven products. Collaborate with cross-functional teams to implement new features and improve existing functionality.
Architect, implement, and maintain engineering solutions to solve complex problems while collaborating with product managers and engineers. Mentor other engineers and participate in the design and development of strategic products for Addepar.
Develop and execute strategic partnership plans with leading Cloud Service Providers and Independent Software Vendors. Own day-to-day partner engagement and identify co-innovation opportunities.
The Engagement Lead will lead engagement strategy and execution across assigned client accounts, ensuring timely delivery of performance goals and customer satisfaction. They will build and maintain strong client relationships while identifying upsell and cross-sell opportunities.
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The Data Scientist will design, build, and validate predictive models for connected vehicle analytics, focusing on driver behavior analysis and vehicle health monitoring. They will also analyze complex datasets to uncover actionable business insights and collaborate with teams to operationalize models.
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