<h3>About the Team/Role </h3>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! <h3>How you’ll make an impact </h3><ul><li>A highly motivated engineer who loves working on small, highly performing teams </li><li>Collaborative, a solid communicator, and work well with your team and stakeholders. </li><li>A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don’t go your way. </li><li>Are comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare. </li><li>Design, implement, train and maintain machine learning algorithms and ML system pipelines. </li><li>Work closely with our AI platform team and line of business engineering teams to integrate AI components and models into WEX systems. </li><li>Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery. </li><li>Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications. </li><li>Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders. </li> </ul>Experience you’ll bring <ul><li>Minimum 7 years of application development experience. </li><li>Minimum 4 years of experience building, training and deploying machine learning models. </li><li>Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow. </li><li>Bachelor's Degree in Computer Science, Engineering, or related field. </li><li>Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform. </li><li>Experience applying DevOps principles to software development processes. </li><li>Proficiency in version control systems, particularly GitHub. </li><li>Excellent problem-solving skills and a proactive approach to addressing challenges. </li><li>Experience in the financial industry is a plus. </li> </ul> #J-18808-Ljbffr

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il. About the Team/Role 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! How you'll make an impact
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.
Experience you'll bring 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. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include 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. For more information, check out the "About Us" section. Pay Range: $126,000.00 - $168,000.00

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il.

About the Team/Role

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!

How you'll make an impact
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.
Experience you'll bring       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.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include 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. For more information, check out the "About Us" section.

Pay Range: $126,000.00 - $168,000.00

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il.

About the Team/Role

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!

How you'll make an impact
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.
Experience you'll bring      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.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include 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. For more information, check out the "About Us" section.

Pay Range: $169,000.00 - $225,000.00

Company DescriptionExperian is the world's leading global information services company. During life's big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.We're focused on powering opportunities; that's why our Experian Summer Internship Program offers students nationwide a chance to gain hands-on work experience by applying their formal education to solve meaningful projects. During the Summer Internship Program, you will be immersed in Experian's 'People First' philosophy, experiencing our commitment to developing its people.Join us and explore your potential in one of the Top 100 Summer Internship Programs!Job DescriptionThe Machine Learning Engineer Intern will work under the Sr. Manager of Data Science Product Enablement/Adaption. You will support GenAI projects, including developing AI use cases.Responsibilities:<ul><li>Develop tools for operational efficiency and monitoring</li><li>Improve automation and test coverage</li><li>Analyze cost efficiency for infrastructure</li><li>Augment project modules</li></ul>Qualifications<ul><li>Currently enrolled in a Bachelor's degree program or above in math, CS, or related field</li><li>Returning to school in Fall 2025 to complete degree</li><li>GenAI experience preferred, experience in programming languages such as Java, Python, C++</li></ul>Perks:<ul><li>Fully remote</li><li>Volunteer Time Off</li><li>Great compensation</li><li>Flexible work schedule</li><li>Eligible for 401(k) participation in 90 days</li></ul>Additional InformationOur uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il. About the Team/Role 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! How you'll make an impact <ul> <li>A highly motivated engineer who loves working on small, highly performing teams </li><li>Collaborative, a solid communicator, and work well with your team and stakeholders. </li><li>A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don't go your way. </li><li>Are comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare. </li><li>Design, implement, train and maintain machine learning algorithms and ML system pipelines. </li><li>Work closely with our AI platform team and line of business engineering teams to integrate AI components and models into WEX systems. </li><li>Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery. </li><li>Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications. </li><li>Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders. </li></ul>Experience you'll bring <ul> <li>Minimum 7 years of application development experience. </li><li>Minimum 4 years of experience building, training and deploying machine learning models. </li><li>Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow. </li><li>Bachelor's Degree in Computer Science, Engineering, or related field. </li><li>Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform. </li><li>Experience applying DevOps principles to software development processes. </li><li>Proficiency in version control systems, particularly GitHub. </li><li>Excellent problem-solving skills and a proactive approach to addressing challenges. </li><li>Experience in the financial industry is a plus. </li></ul> The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include 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. For more information, check out the "About Us" section. Pay Range: $147,000.00 - $195,000.00

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il. About the Team/Role 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! How you'll make an impact <ul> <li>A highly motivated engineer who loves working on small, highly performing teams </li><li>Collaborative, a solid communicator, and work well with your team and stakeholders. </li><li>A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don't go your way. </li><li>Are comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare. </li><li>Design, implement, train and maintain machine learning algorithms and ML system pipelines. </li><li>Work closely with our AI platform team and line of business engineering teams to integrate AI components and models into WEX systems. </li><li>Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery. </li><li>Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications. </li><li>Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders. </li></ul>Experience you'll bring <ul> <li>Minimum 5 years of application development experience using Python. </li><li>Minimum 3 years of experience building, training and deploying machine learning models. </li><li>Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow. </li><li>Bachelor's Degree in Computer Science, Engineering, or related field. </li><li>Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform. </li><li>Experience applying DevOps principles to software development processes. </li><li>Proficiency in version control systems, particularly GitHub. </li><li>Excellent problem-solving skills and a proactive approach to addressing challenges. </li><li>Experience in the financial industry is a plus. </li></ul> The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include 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. For more information, check out the "About Us" section. Pay Range: $126,000.00 - $168,000.00

(*) The candidate must reside within 30 miles of one of the following locations: San Francisco Bay Area, CA; Portland, ME; Boston, MA; Chicago, Il. About the Team/Role 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! How you'll make an impact <ul><li>A highly motivated engineer who loves working on small, highly performing teams</li><li>Collaborative, a solid communicator, and work well with your team and stakeholders.</li><li>A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don't go your way.</li><li>Are comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare.</li><li>Design, implement, train and maintain machine learning algorithms and ML system pipelines.</li><li>Work closely with our AI platform team and line of business engineering teams to integrate AI components and models into WEX systems.</li><li>Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery.</li><li>Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications.</li><li>Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders.</li></ul> Experience you'll bring <ul><li>Minimum 5 years of application development experience using Python.</li><li>Minimum 3 years of experience building, training and deploying machine learning models.</li><li>Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow.</li><li>Bachelor's Degree in Computer Science, Engineering, or related field.</li><li>Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform.</li><li>Experience applying DevOps principles to software development processes.</li><li>Proficiency in version control systems, particularly GitHub.</li><li>Excellent problem-solving skills and a proactive approach to addressing challenges.</li><li>Experience in the financial industry is a plus.</li></ul> The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include 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. For more information, check out the "About Us" section. Pay Range: $126,000.00 - $168,000.00

Machine Learning Engineer Jobs in Portland, ME

Staff Machine Learning Engineer
December 9, 2024

Senior Machine Learning Engineer
December 3, 2024

Senior Machine Learning Engineer
December 2, 2024

Staff Machine Learning Engineer Level 5
December 2, 2024

Machine Learning Engineer Summer Intern Remote Paid
November 30, 2024

Staff Machine Learning Engineer Level 4
November 29, 2024

Senior Machine Learning Engineer
November 28, 2024

Senior Machine Learning Engineer
November 24, 2024

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Machine Learning Engineer Jobs in Portland, ME

Staff Machine Learning EngineerDecember 9, 2024

Senior Machine Learning EngineerDecember 3, 2024

Senior Machine Learning EngineerDecember 2, 2024

Staff Machine Learning Engineer Level 5December 2, 2024

Machine Learning Engineer Summer Intern Remote PaidNovember 30, 2024

Staff Machine Learning Engineer Level 4November 29, 2024

Senior Machine Learning EngineerNovember 28, 2024

Senior Machine Learning EngineerNovember 24, 2024