AI Engineer- remote

Inetum; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Inetum is seeking a remote AI Engineer to design, build, and maintain AI-driven software components. The role involves developing and evaluating machine learning models for production use cases and collaborating with cross-functional teams to translate business problems into AI solutions.

You will contribute to the engineering lifecycle, including coding, testing, and deployment, in IT and insurance contexts.

Qualifications

• Hands-on experience as an AI Engineer or in a closely related ML role.
• Proficiency with relevant programming languages and AI/ML frameworks.
• Solid understanding of software engineering best practices.

Responsibilities

• Design, build, and maintain AI-driven software components and services.
• Develop and evaluate machine learning models for production use cases.
• Collaborate with cross-functional stakeholders to translate business problems into AI solutions.
• Contribute to the engineering lifecycle including coding, testing, and deployment.
• Work on solutions relevant to information technology and insurance industry contexts.

Skills

AI/ML engineering

Programming languages

AI/ML frameworks

Software engineering best practices

Remote collaboration

Job description

Role overview

This is a remote AI Engineer role based in Bucharest, Romania, operating fully off-site. The position sits within the information technology sector with applications tied to the insurance industry. The engineer will contribute to artificial intelligence initiatives that bridge technology and insurance use cases.

Responsibilities

• Design, build, and maintain AI-driven software components and services
• Develop and evaluate machine learning models for production use cases
• Collaborate with cross-functional stakeholders to translate business problems into AI solutions
• Contribute to the engineering lifecycle including coding, testing, and deployment
• Work on solutions relevant to information technology and insurance industry contexts

Requirements

• Hands-on experience as an AI Engineer or in a closely related machine learning role
• Proficiency with relevant programming languages and AI/ML frameworks
• Solid understanding of software engineering best practices
• Ability to operate effectively in a fully remote work setup
• Comfort working in the IT sector with exposure to insurance-related projects