Mid AI/ML Engineer

WEX - Chicago, IL

Full-time - Mid Level

Remote - Chicago, IL

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Mid AI/ML Engineer at WEX, Inc. is a remote position focused on integrating artificial intelligence into the company's products and business strategies. The role involves collaboration with stakeholders to develop innovative AI platforms and solutions that enhance decision-making and drive business growth. The ideal candidate is passionate about AI and machine learning, possesses strong software engineering skills, and is motivated to solve complex problems using data-driven approaches.

Responsibilities

• Collaborate with stakeholders to learn about our customers' needs and challenges.
• Measure, inspect, and drive decisions using data.
• Design, test, code, and instrument AI/ML platforms/tools.
• Develop, evaluate, deploy, and monitor AI/ML models.
• Develop and maintain CI/CD pipelines using tools such as GitHub Actions.
• Implement Infrastructure as Code (IaC) using tools like Terraform.
• Support live platforms/systems, promote proactive monitoring, rapid incident response, and continuous improvement.
• Analyze existing platforms/systems and processes to identify bottlenecks and opportunities for improvements.

Requirements

• 2+ years of experience as an AI/ML engineer or Data Scientist with strong software development skills or PhD in AI/ML
• Bachelor's degree in Computer Science, Software Engineering, or related field; A Master or PhD in the area of AI/ML is a big plus
• Proven track record of delivering end-to-end solutions using diverse technologies, with Java, C#, GoLang, or Python as your core programming language
• Demonstrated ability to collaborate with stakeholders throughout the product delivery lifecycle
• Evidence of innovative problem-solving skills
• Experience with using Large Language Models for generative AI projects
• Experience with using ML algorithms and platforms
• Understanding of data processing techniques
• Experience in the financial industry a plus

Nice-to-haves

• Experience with Cloud technology such as AWS
• Familiar with Kubernetes

Benefits

• life insurance
• paid time off
• tuition reimbursement