WEX

Senior Machine Learning Engineer

WEX

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Illinois

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Salary

💰 $128,000 - $170,000 per year

Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchTensorflowTerraform

About the role

  • Design, implement, train and maintain machine learning algorithms and ML system pipelines
  • Work closely with our AI platform team and line of business engineering teams to integrate AI components and models into WEX systems
  • Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery
  • Design and implement RESTful APIs to facilitate communication between various components
  • Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders
  • Balance the need to move fast with the realities of working in highly regulated spaces like payments and healthcare
  • Work on small, highly performing teams and enable product development teams to deploy AI functionality at scale
  • Contribute to cloud-first automation of infrastructure, testing, and deployment

Requirements

  • Minimum 7 years of application development experience
  • Minimum 4 years of experience building, training and deploying machine learning models
  • Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow
  • Bachelor's Degree in Computer Science, Engineering, or related field
  • Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform
  • Experience applying DevOps principles to software development processes
  • Proficiency in version control systems, particularly GitHub
  • Excellent problem-solving skills and a proactive approach to addressing challenges
  • Experience in the financial industry is a plus
  • Must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; or Seattle/WA