WEX

Mid-Level AI / Machine Learning Engineer

WEX

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Illinois

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Salary

💰 $87,000 - $115,000 per year

Job Level

JuniorMid-Level

Tech Stack

AWSCloudJavaKubernetesPythonSDLCTerraform

About the role

  • We are a fast-growing AI Engineering team driving WEX's strategic vision to integrate AI into the core of our product and business.
  • 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 GitHub Actions.
  • Implement Infrastructure as Code (IaC) using 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
  • Technical Skills Proficiency in at least one of the languages mentioned above
  • Experience in commonly used LLM models and/or ML packages including deep learning.
  • Strong data manipulation skills
  • Solid understanding of probability and statistics concepts (distributions, Bayesian inference, maximum likelihood estimation, etc.)
  • Experience with software development and the SDLC
  • Experience with Cloud technology such as AWS
  • Familiar with Kubernetes