AI 리드 엔지니어 (Lead AI Engineer) (Remote) 60 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.
Remote Insurance Jobs
Browse 32,832 Remote Insurance Jobs, with 4,753 added this week. The average salary is $125,896 a year, from $77K for entry-level roles to $183K for lead roles. Teams are hiring for Account Manager, Software Engineer and Project Manager.
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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.
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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.
Develop high-quality backend systems using NodeJS and frontend applications using ReactJS/NextJS. Ensure production stability and mentor junior developers while maintaining code quality.
Develop high-quality backend systems using NodeJS while adhering to best coding practices. Ensure production stability and promptly resolve critical issues to minimize operational impact.
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.
We watch for new remote insurance jobs and email you the matches. Free. Unsubscribe in one click.
Develop and execute automated tests for microservices and infrastructure components. Collaborate with DevOps Engineers to integrate tests into CI/CD pipelines and ensure API stability through contract testing.
Develop high-quality backend systems using NodeJS while ensuring production stability and resolving critical issues. Analyze existing code for optimization and mentor junior developers on best practices.
Develop high-quality backend systems using NodeJS while ensuring production stability and resolving critical issues. Mentor junior developers and maintain code quality through peer reviews.
Assist customers through live chat, email, and phone support, primarily via phone. Provide customer feedback and maintain detailed product knowledge to support sales efforts.
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The average salary for Remote Insurance Roles is $125,896 per year. This is based on data from 1,262 job openings. We use the yearly salaries in US dollars from these job postings to calculate salary expectations. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Average salary |
|---|---|---|
| Entry-level0–2 years | 95 | $77,141 |
| Junior2–5 years | 453 | $93,725 |
| Senior5–10 years | 488 | $138,795 |
| Lead10+ years | 226 | $183,021 |
We reviewed 2,637 job postings for Remote Insurance Roles and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| Communication | 32% |
| Customer Service | 19% |
| Data Analysis | 17% |
| Time Management | 17% |
| Strategic planning | 15% |
| Problem solving | 15% |
| Project Management | 14% |
| Communication Skills | 14% |
| Stakeholder management | 11% |
| Problem-solving | 10% |
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