Senior AI / Machine Learning Engineer
Description:
• 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 thirst for working with new tools and technologies, then this is the place to be!
• 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 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 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.
Benefits:
• 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
Apply Now
Apply Now
• 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 thirst for working with new tools and technologies, then this is the place to be!
• 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 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 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.
Benefits:
• 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
Apply Now
Apply Now