Staff AI Infra Engineer
| Company | Wex |
|---|---|
| Location | San Francisco, CA, USA, Chicago, IL, USA, Portland, ME, USA |
| Salary | $150000 – $200000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
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.
Responsibilities
- 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 and ensure smooth operation of our applications.
- Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience in the financial industry is a plus.