Financial Technology Job Opportunities

Gain valuable experience working in our North American People & Culture team as a hands-on HR Intern. We will work together to provide exposure to all facets of a strategic business partner role. You will work in an international, team-oriented environment alongside highly skilled HR professionals.

KEY RESPONSIBILITIES:

Talent Acquisition and Talent Management

• Assist with job postings, resume reviews, and interview scheduling.
• Prepare new hire documentation and help coordinate onboarding.
• Support talent management initiatives.

Employee Relations and Engagement

• Support employee inquiries and assist with organizing company events and recognition programs.
• Build and maintain relationships with employees at all levels of the organization.

HR Operations

• Provide administrative support such as maintaining data in HRIS & payroll systems, document preparation, project tracking, and internal communications.
• Maintain and communicate key HR metrics and analytics.
• Proactively make recommendations to improve HR operations and add value to the business.
• Ensure confidentiality of sensitive employee information.

Learning and Compliance

• Assist in organizing training sessions, track employee participation, and support HR compliance initiatives.

COMPETENCIES/SKILLS:

• Pursuing a degree in Human Resources or related field.
• Excellent written and verbal communication skills.
• Ability to handle sensitive information with discretion and confidentiality.
• Self-motivated and able to work effectively independently or in a team environment.
• Ability to complete assignments with attention to detail and high degree of accuracy.
• Consistently deliver high quality customer service in a professional and efficient manner.
• Ability to work in a changing environment to meet demanding deadlines and timescales.
• Acts with integrity and instills trust.
• Demonstrated project management skills and ability to balance multiple assignments at once
• Knowledge and/or interest in creating diverse, equitable, and inclusive spaces.

​​​​​​​As part of our values, we embrace diversity and inclusion at Ingenico. Ingenico provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Further, the company takes affirmative action to ensure that applicants are employed, and employees are treated during employment without regard to any of these characteristics. Discrimination of any type will not be tolerated.

Ingenico welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. We want to adapt our processes and create a safe work environment that welcomes everyone.

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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.

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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.).
• Experience with CI/CD pipelines.

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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.

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