With Atlanta’s position as a global hub for digital payment activity, the hundreds of firms that call the city home are always looking for talented students to fill internships and cooperative opportunities or to work full-time after graduation. Check this page often for new job openings in the fintech space.
Current Openings
Who We Are:
Ingenico is the global leader in payment acceptance and services. Active in 37 countries
with over 3,500 employees, we have been at the forefront of the commerce landscape
for over four decades. With more than 40 million payment devices deployed worldwide,
powered by over 2,500 apps, the company is servicing the needs of millions of consumers
every day.
Innovation is integral to Ingenico’s approach and culture. Join our inspiring and diverse community of experts to help move commerce forward.
Software Engineer Intern
Gain valuable experience working in our agile, innovative, and technology-leading
organization as part of the North American Research and Development team. As a Software
Engineer, you will be responsible for designing and implementing machine learning
models and algorithms, training models, tuning hyperparameters, and deploying models
into production. You will work in a focused, high-intensity, team-oriented environment
alongside a highly skilled and enthusiastic scrum team developing business solutions.
Join Ingenico and we will work together to identify a project for you to complete.
You will have the opportunity to join a team, participate in PI (Program Increment)
planning, and gain formal hands-on Scaled Agile (SAFe) experience. This is a unique
opportunity to develop your skills and launch your career.
KEY RESPONSIBILITIES:
Build the infrastructure and tools needed to support AI systems.
Integrate AI models into applications.
Optimize application performance.
Ensure scalability of AI systems.
Create design specifications and prototypes.
Analyze bug reports and perform defect resolution process.
Work with QA to ensure appropriate test cases are created, maintained, and executed.
Ensure code quality through established coding standards and peer code reviews.
Create and maintain usability documentation.
COMPETENCIES/SKILLS REQUIRED:
Pursuing BS/MS in computer science, engineering, or a related subject.
Experience in software development and integration of AI models.
Proficiency in programming languages such as Python, Kotlin, or C++.
Experience with cloud platforms (AWS, GCP, Azure).
Knowledge of REST APIs.
Self-starter who is highly organized, hands-on, and focused on continuing professional
development.
COMPETENCIES/SKILLS PREFERRED:
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Experience with CI/CD pipelines.
Knowledge of Agile development methodology (Scrum, Kanban, XP, Lean, etc.).
Understanding of software development principles and best practices.
Experience using version control systems such as Git.
Knowledge of performance optimization techniques and scalability practices.
Gain valuable experience working in our agile, innovative, and technology-leading
organization as part of the North American Research and Development team. As a Computer
Vision Engineer, you will be responsible for designing and implementing machine learning
models and algorithms, training models, tuning hyperparameters, and deploying models
into production. You will work in a focused, high-intensity, team-oriented environment
alongside a highly skilled and enthusiastic scrum team developing business solutions.
Join Ingenico and we will work together to identify a project for you to complete.
You will have the opportunity to join a team, participate in PI (Program Increment)
planning, and gain formal hands-on Scaled Agile (SAFe) experience. This is a unique
opportunity to develop your skills and launch your career.
KEY RESPONSIBILITIES:
Develop and implement computer vision models and algorithms.
Create systems that interpret visual information from images and videos.
Implement training computer vision models and fine-tune hyperparameters.
Deploy computer vision models into production.
Create design specifications and prototypes.
Analyze model performance and perform defect resolution process.
Work with QA to ensure appropriate test cases are created, maintained, and executed.
Ensure code quality through established coding standards and peer code reviews.
Create and maintain usability documentation.
COMPETENCIES/SKILLS REQUIRED:
Pursuing BS/MS in computer science, engineering, or related subject.
Experience developing and implementing computer vision models and algorithms.
Proficiency in programming languages such as Python or C++.
Experience with computer vision libraries & frameworks like OpenCV, TensorFlow, or
PyTorch.
Knowledge of REST APIs.
Self-starter who is highly organized, hands-on, and focused on continuing professional
development.
COMPETENCIES/SKILLS PREFERRED:
Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.
Knowledge of image and video processing techniques.
Understanding of version control systems such as Git.
Knowledge of Agile development methodology (Scrum, Kanban, XP, Lean, etc.).
Experience with CI/CD pipelines.
Understanding of software development principles and best practices.
Gain valuable experience working in our agile, innovative, and technology-leading
organization as part of the North American Research and Development team. As a Machine
Learning Engineer Intern, you will be responsible for designing and implementing machine
learning models and algorithms, training models, tuning hyperparameters, and deploying
models into production. You will work in a focused, high-intensity, team-oriented
environment alongside a highly skilled and enthusiastic scrum team developing business
solutions.
Join Ingenico and we will work together to identify a project for you to complete.
You will have the opportunity to join a team, participate in PI (Program Increment)
planning, and gain formal hands-on Scaled Agile (SAFe) experience. This is a unique
opportunity to develop your skills and launch your career.
KEY RESPONSIBILITIES:
Design and develop machine learning models and algorithms.
Implement training models and tuning hyperparameters.
Deploy models into production.
Create design specifications and prototypes.
Analyze model performance and perform defect resolution process.
Work with QA to ensure appropriate test cases are created, maintained, and executed.
Ensure code quality through established coding standards and peer code reviews.
Create and maintain usability documentation.
COMPETENCIES/SKILLS REQUIRED:
BS/MS in Computer Science, Engineering, or a related subject.
Experience developing and implementing machine learning models and algorithms.
Proficiency with programming languages such as Python or R.
Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
Knowledge of REST APIs.
Self-starter who is highly organized, hands-on, and focused on continuing professional
development.
COMPETENCIES/SKILLS PREFERRED:
Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.
Knowledge and experience with data preprocessing and feature engineering.
Understanding of version control systems such as Git.
Knowledge of Agile development methodology (Scrum, Kanban, XP, Lean, etc.).
Join the team and we will work together to identify a project for you to complete.
You will have the opportunity to join a team, participate in PI (Program Increment)
planning, and gain formal hands-on Scaled Agile (SAFe) experience. This is a unique
opportunity to develop your skills and launch your career.
KEY RESPONSIBILITIES:
Develop and implement NLP models and algorithms.
Work on systems that understand, interpret, and generate human language.
Implement NLP training computer vision models and fine-tune hyperparameters.
Deploy computer vision models into production.
Create design specifications and prototypes.
Analyze model performance and perform defect resolution process.
Work with QA to ensure appropriate test cases are created, maintained, and executed.
Ensure code quality through established coding standards and peer code reviews.
Create and maintain usability documentation.
COMPETENCIES/SKILLS REQUIRED:
Pursuing BS/MS in computer science, engineering, linguistics, or related subject.
Experience developing and implementing NLP models and algorithms.
Proficiency in programming languages such as Python.
Experience with NLP frameworks & libraries like like spaCy, NLTK, or Hugging Face Transformers.
Knowledge of REST APIs.
Self-starter who is highly organized, hands-on, and focused on continuing professional
development.
COMPETENCIES/SKILLS PREFERRED:
Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.
Knowledge of image and video processing techniques.
Understanding of version control systems such as Git.
Knowledge of Agile development methodology (Scrum, Kanban, XP, Lean, etc.).
Experience with CI/CD pipelines.
Understanding of software development principles and best practices.
Gain valuable experience working in our agile, innovative, and technology-leading
organization as part of the North American Research and Development team. As a Technical
Writer Intern, you will work in a focused, high-intensity, team-oriented environment
alongside a highly skilled and enthusiastic scrum team developing business solutions.
KEY RESPONSIBILITIES:
Develop and maintain product documentation, including user guides, interface guidelines, onboarding materials, and in-app help content.
Translate complex technical concepts into easily understandable content, ensuring consistency with the product's design language and user interface.
Collaborate with UI/UX designers to document design specifications, wireframes, user flows, and prototypes.
Create documentation that supports both developers (API documentation) and end-users (tutorials, FAQs, feature descriptions).
Work closely with developers and QA engineers to understand the system architecture, business logic, and design the appropriate test scenarios.
COMPETENCIES/SKILLS REQUIRED:
Ability to work effectively with senior business and client contacts including ability
to deliver unpopular messages.
Ability to communicate business needs to technical people and to communicate and simplify complex technical information for non-technical people.
BS in Software Engineering or Information Technology or equivalent experience.
Strong documentation capabilities necessary for documenting processes and procedures.
Strong analytical and problem-solving skills with demonstrated attention to detail.
Excellent communication and organizational skills.
Gain valuable experience working in our agile, innovative, and technology-leading
organization as part of the North American Research and Development team. As a Technical
Writer Intern, you will work in a focused, high-intensity, team-oriented environment
alongside a highly skilled and enthusiastic scrum team developing business solutions.
KEY RESPONSIBILITIES:
Develop and maintain product documentation, including user guides, interface guidelines, onboarding materials, and in-app help content.
Translate complex technical concepts into easily understandable content, ensuring consistency with the product's design language and user interface.
Collaborate with UI/UX designers to document design specifications, wireframes, user flows, and prototypes.
Create documentation that supports both developers (API documentation) and end-users (tutorials, FAQs, feature descriptions).
Work closely with developers and QA engineers to understand the system architecture,
business logic, and design the appropriate test scenarios.
COMPETENCIES/SKILLS REQUIRED:
Ability to work effectively with senior business and client contacts including ability
to deliver unpopular messages.
Ability to communicate business needs to technical people and to communicate and simplify complex technical information for non-technical people.
BS in Software Engineering or Information Technology or equivalent experience.
Strong documentation capabilities necessary for documenting processes and procedures.
Strong analytical and problem-solving skills with demonstrated attention to detail.
Excellent communication and organizational skills.
