AI Engineer: Build GenAI & ML Solutions On-site

Uline; Kenosha (WI); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) with 6% employer match

Paid holidays

Generous PTO

Tuition assistance program

On-site café

Fitness center with personal trainers

Walking trails

Job summary

Uline is seeking an AI Engineer to partner with cross-functional teams to build AI solutions that streamline processes and support decision-making. The role emphasizes deploying GenAI applications, data pipelines, and machine learning models to enhance operational efficiency and business outcomes.

Ideal candidates will have 2+ years in AI/ML or software engineering, strong Python/SQL skills, and clear communication to translate technical concepts for non-technical stakeholders.

Qualifications

• Bachelor's degree in CS/IT or related field.
• 2+ years of AI, machine learning, data science or software engineering experience.
• Hands-on experience building and deploying machine learning models and GenAI applications.
• Proficiency in Python and SQL, with experience building data pipelines and integrating data across systems.
• Strong communication skills with the ability to simplify complex technical information.

Responsibilities

• Partner with business teams to identify opportunities where AI can improve processes, solve business challenges and support strategic goals.
• Design, build and deploy AI solutions, including machine learning models, GenAI applications, agents and data pipelines to improve business processes.
• Monitor and optimize solutions in production, using performance data and user feedback to drive improvements.
• Help establish development standards, reusable tools and best practices as Uline expands its AI capabilities.

Skills

Python

SQL

GenAI

Machine Learning

Data pipelines

Communication

Education

Bachelor's degree in Computer Science or related field

Job description

Uline is seeking an AI Engineer to partner with cross-functional teams to build AI solutions that streamline processes and support decision-making. The role emphasizes deploying GenAI applications, data pipelines, and machine learning models to enhance operational efficiency and business outcomes.

Ideal candidates will have 2+ years in AI/ML or software engineering, strong Python/SQL skills, and clear communication to translate technical concepts for non-technical stakeholders.