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AI Developer - Remote

UL Solutions

Role overview

Qualifications

  • Experience in deploying AI and machine learning applications
  • Proficiency in Azure cloud environments
  • Knowledge of DevOps practices
  • Expertise in Generative AI

Responsibilities

  • Design and build AI-powered solutions
  • Deploy and support scalable applications and services
  • Collaborate with product teams and business stakeholders
  • Ensure solutions are secure, reliable, and maintainable

Key facts

Hard skills

Other skills

  • Teamwork
  • Communication

About the company

UL Solutions logo

UL Solutions

  • Research & Scientific Services
  • Large
  • 10,001+
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.
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Job description

The AI Developer is responsible for designing, building, deploying, and supporting AI-powered solutions that deliver measurable business value across core business functions. This role combines software engineering, cloud infrastructure, MLOps, and Generative AI expertise to create scalable, production-ready applications and services.
Working closely with product teams, engineers, and business stakeholders, the AI Developer will own initiatives from concept through deployment, ensuring solutions are secure, reliable, maintainable, and aligned with business objectives.
The ideal candidate is highly hands-on, passionate about building real-world AI solutions, and experienced in deploying AI, machine learning, and Generative AI applications in cloud environments using Azure and modern DevOps practices.

This position is remote for Brazil.

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