AI Engineer responsible for developing AI - driven features and managing enterprise customer solutions. Collaborate across teams to build and scale AI systems for enterprise clients.
About the role
- 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.
Benefits
- health, dental and vision insurances
- retirement savings plan
- paid time off
- health savings account
- flexible spending accounts
- life insurance
- disability insurance
- tuition reimbursement
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