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.
Remote Artificial Intelligence Jobs (9,418)
Search = ai
Job category = Software Development
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.
Design, build, and ship production-grade machine learning models for high-impact use cases while leading the end-to-end ML lifecycle. Collaborate with cross-functional teams to drive AI initiatives and mentor junior engineers.
You will collaborate with product, data, and engineering teams to define machine learning goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
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As an AI Software Engineer, you will design, build, and deploy machine learning models that power personalization, automation, and insight generation. You will also manage the entire ML lifecycle and integrate ML outputs into user-facing products and backend systems.
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.
You will design, build, and ship production-grade ML models for high-impact use cases while owning the end-to-end ML lifecycle. Collaborate across product, engineering, and data teams to drive AI initiatives and mentor junior engineers.
You will work with product, data, and engineering teams to define machine learning goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
The role involves leveraging advanced analytics techniques to extract insights from large datasets and support clients in solving complex business problems. You will also manage client relationships and guide teams in delivering quality solutions.
Lead business case identification and prioritization based on impact, feasibility, and alignment with organizational goals. Shape and execute enterprise-level Copilot adoption strategies that align with business priorities and transformation goals.
Lead business case identification and prioritization based on impact, feasibility, and alignment with organizational goals. Shape and execute enterprise-level Copilot adoption strategies that align with business priorities and transformation goals.
Lead business case identification and prioritization based on impact, feasibility, and alignment with organizational goals. Shape and execute enterprise-level Copilot adoption strategies that align with business priorities and transformation goals.
Enterprise AI & Data Governance Analyst II
Premera Blue Cross
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Full Time
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40 Weeks Ago
Premera Blue Cross
The Enterprise AI & Data Governance Analyst II will support the organization through AI & Data Governance policy creation, implementation, compliance monitoring, data lifecycle management, and reporting. This role involves collaborating with cross-functional teams to ensure adherence to governance policies and procedures while proactively identifying risks and opportunities.
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.
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Georgian Language Specialist - AI Trainer
Invisible Agency
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Full Time
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40 Weeks Ago
Invisible Agency
You will evaluate, annotate, and refine AI-generated content in Georgian. This includes reviewing text outputs, correcting errors, and contributing to evaluation guidelines.
The AI Client Manager will audit clients' AI Management System processes and capabilities, ensuring adherence to ISO/IEC 42001 standards. They will prepare audit reports and present findings to clients, recommending certification actions as necessary.
Kinyarwanda Language Specialist - AI Trainer
Invisible Agency
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Full Time
·
40 Weeks Ago
Invisible Agency
You will review AI-generated Kinyarwanda content for linguistic accuracy and fluency, and provide linguistic feedback to improve model comprehension. Additionally, you will annotate text for tone and meaning and collaborate with the team on quality assurance standards.
Design and build backend systems that support scaling AI solutions for over 167,000 customers. Develop robust data collection and processing pipelines for machine learning models and contribute to evolving the agentic architecture.
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.
Design, develop, and deploy .NET applications on Microsoft Azure while building AI-driven applications using Azure AI services. Collaborate with data scientists and stakeholders to identify AI opportunities and ensure application performance and model accuracy.
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.
The AI Engineer will navigate ambiguity and adapt quickly in a fast-moving team while demonstrating ownership by proactively identifying challenges and driving solutions. They will collaborate across distributed teams to design, build, and iterate on innovative AI solutions from concept to production.
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 lead interactions to identify client needs and support research and sales efforts.
The AI Data Analyst will automate the extraction, classification, and visualization of information from NATO Programme of Work projects. This role involves generating reports and visual summaries, querying systems for insights, and performing business-level portfolio analysis.
The AI Product Manager will define and drive the AI roadmap across front-office platforms, focusing on client-facing innovation and internal development efficiency. This role involves collaborating with various teams to identify opportunities for AI integration and ensuring alignment with business goals.
Work closely with founders and leaders to leverage AI for innovation. Create prototypes and automate processes to enhance team efficiency.
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