AI Engineer for Scalable Machine Learning Solutions

3 weeks ago


Portland, Maine, United States WEX, Inc. Full time
About the Job

We are seeking an experienced AI Engineer to join our team at WEX, Inc. This is a unique opportunity to work with cutting-edge technologies and contribute to the development of scalable machine learning solutions.

The ideal candidate will have a strong background in machine learning engineering, cloud computing, and DevOps principles. They will be responsible for designing, implementing, and maintaining machine learning algorithms and pipelines, as well as collaborating with cross-functional teams to integrate AI components into WEX systems.

Key Responsibilities
  • Design and implement machine learning models using PyTorch or TensorFlow
  • Collaborate with the AI platform team to integrate AI components into WEX systems
  • Work closely with line of business engineering teams to ensure smooth operation of applications
  • Develop and maintain RESTful APIs to facilitate communication between components
  • Participate in code reviews and communicate solutions to technical and non-technical stakeholders
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 IAC frameworks like Terraform
  • Experience applying DevOps principles to software development processes
  • Proficiency in version control systems, particularly GitHub
What We Offer

We offer a competitive salary range of $169,000.00 - $225,000.00, depending on qualifications and experience. In addition, we provide comprehensive benefits, including health insurance, retirement savings plan, paid time off, and tuition reimbursement. If you are passionate about machine learning and want to be part of a dynamic team, apply now



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