Senior Machine Learning Engineer

Company:  WEX
Location: Boston
Closing Date: 06/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
(*) The candidate must reside within 30 miles of one of the following locations: Boston, MA; San Francisco Bay Area, CA; Portland, ME; Chicago, IL.

About the Team/Role

We are the AI Engineering team at WEX. We enable our product development teams to move quickly and deploy AI functionality into their applications in a scalable manner. We are cloud-first and aim to automate everything, including infrastructure, testing, and deployment. If you’re interested in ChatGPT, Large Language Models, MLOps, DevOps, and have a thirst for working with new tools and technologies, then this is the place to be!

How you’ll make an impact
  • A highly motivated engineer who loves working on small, highly performing teams.
  • Collaborative, a solid communicator, and works well with your team and stakeholders.
  • A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don’t go your way.
  • Comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare.
  • 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.
Experience you’ll bring
  • Minimum 5 years of application development experience using Python.
  • Minimum 3 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 a 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.
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