WEX Inc. is seeking a graduate student intern to contribute to cutting-edge AI/ML applications, Big data, Fraud and Credit Risk technologies in the FinTech industry, working alongside experienced engineers and researchers to solve real-world challenges.
Requirements
- Proficient in coding using languages like Python, Java, Go, etc, automated testing, and system monitoring or other relevant programming languages.
- Experience working with data, including data analysis, manipulation, and visualization.
- Solid understanding of machine learning algorithms, techniques, and best practices.
- Experience with cloud computing platforms (AWS, Azure, GCP).
- Familiarity with DevOps practices and tools.
- Contributions to open-source projects or publications in relevant conferen
Responsibilities
- Contribute to impactful projects: Work on challenging projects that leverage data to address critical business needs in areas like fraud prevention, credit risk assessment, and data-driven decision making.
- Data Transformation: Design and implement moderately complex ingestion pipelines that integrate with internal and external systems.—unlocking value for both customers and internal teams.
- Contribute to both batch and streaming ingestion flows, ensuring scalability and maintainability.
- Work with big data technologies: Gain experience with big data tools and technologies, including data ingestion, processing, and analysis.
- Collaborate with experts: Partner with experienced engineers and researchers to brainstorm solutions, overcome technical challenges, and contribute to innovative projects.
- Present your work: Share your research findings and project outcomes with the team and stakeholders.
Other
- Currently pursuing a Master's degree in Computer Science, Machine Learning, Software Engineering, or related field and will have completed at least your Sophomore year of school at the start of the internship.
- Excellent communication skills: Ability to clearly communicate technical ideas and collaborate effectively with team members.
- Self-Driven Learner: Highly motivated, curious, and eager to explore new technologies and apply them to enhance productivity and deliverables.
- Passion for Innovation: Enthusiasm for working with big data technologies, AI/ML, risk analysis, and cloud infrastructure.
- Desire to learn robust design solutions for small to medium-scale problems or system components.
