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Staff Data Scientist
2 months ago
We are seeking a highly skilled Staff Machine Learning Engineer to join our AI Engineering team at WEX, Inc.
The ideal candidate will have a strong background in machine learning, cloud computing, and software development, with a passion for working on complex AI projects.
Key Responsibilities- Design, implement, and maintain machine learning algorithms and ML system pipelines.
- Collaborate with our AI platform team and line of business engineering teams to integrate AI components and models into WEX systems.
- Work closely with cross-functional teams 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 technical and non-technical stakeholders to communicate solutions and drive project success.
- 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.
- Experience in the financial industry is a plus.
WEX, Inc. offers a comprehensive and market-competitive benefits package, including health, dental, and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.
Base pay range: $134,000 - $178,000.
