AI 리드 엔지니어 (Lead AI Engineer) (Remote) 58 applicants
Design, build, and deploy production-grade machine learning models for high-impact use cases. Lead the end-to-end ML lifecycle and mentor junior engineers while collaborating across teams.
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Design, build, and deploy production-grade machine learning models for high-impact use cases. Lead the end-to-end ML lifecycle and mentor junior engineers while collaborating across teams.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
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 work with product, data, and engineering teams to define ML 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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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.
Design, build, and deploy 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 work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
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.
Design, build, and ship production-grade ML models for high-impact use cases while leading model architecture and deployment strategies. Collaborate across teams to drive AI initiatives and mentor junior engineers.
Design, build, and ship production-grade ML models for high-impact use cases while leading model architecture and deployment strategies. Collaborate across teams to drive AI initiatives and mentor junior engineers.
Design and deploy core AI systems that serve millions across Southeast Asia. Lead and mentor junior engineers while driving technical execution and engineering standards.
You will design and deploy core AI systems that serve millions across Southeast Asia. This role involves leading technical execution, mentoring junior engineers, and contributing to hiring a high-performance AI team.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
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.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
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.
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.
We watch for new "ai" jobs and email you the matches. Free. Unsubscribe in one click.
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.
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.
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