Staff AI Engineer creating scalable AI functionality for WEX. Collaborating with engineering teams to integrate AI components and maintain ML pipelines.
Responsibilities
A highly motivated engineer who loves working on small, highly performing teams.
Collaborative, a solid communicator, and work 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.
Are 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.
Requirements
Minimum 7 years of application development experience
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.
Experience building, training and deploying machine learning models.
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