- Location
- India - Bangalore Office
- Workplace
- Remote, Hybrid, Onsite
- Type
- Full-time
- Department
- Engineering
- Education
- Bachelor
- Closing date
- Today
- Source
- Workday
Description
WEX is a global commerce platform that has been simplifying the way businesses operate for over 40 years. Our purpose is simple: to reduce administrative burdens, streamline payments, and manage mobility. With a team of over 7,200 professionals across 16 countries.
Our specialties are employee benefits, business payments, and fleet/mobility solutions. We support more than 20 million SaaS accounts, 8 million Health Savings Accounts, and 19+ million vehicles worldwide. We're a growing company with a history of innovation and a focus on our customers, making this a great place to grow your career.
We offer remote, hybrid, and onsite options for flexibility, and our goal is to bring top interns back full-time or offer them extended roles during the school year.
Imagine starting your career with a company that’s building what's next. Your future starts here.
About the Team/Role:
We are seeking a highly motivated and talented undergraduate student in Computer Science or a related field to join our Data, AI, and Risk Technology (DART) team as a Summer Intern. This is a unique opportunity to contribute to cutting-edge AI/ML applications, our next-generation agentic AI platform, Big Data, fraud and credit risk technologies in the FinTech industry, working alongside experienced engineers and researchers to solve real-world challenges. You will gain valuable experience building AI agents, developing and deploying AI/ML models, working with big data and risk technologies, and contributing to a dynamic and innovative team.
How you’ll make an impact:
Contribute to impactful projects: Work on challenging projects that leverage AI/ML to address critical business needs in areas such as fraud prevention, credit risk assessment, and data-driven real time decision making.
Build agentic AI solutions: Help develop and enhance our agentic AI platform, building intelligent agents that automate workflows, assist decision-making, and solve real-world problems across engineering, product, operations, and customer experiences.
Data Transformation: Develop advanced platforms and tools to process, enrich, and optimize core company data, ensuring it’s easy and efficient to use—unlocking value for both customers and internal teams.
Develop and deploy AI/ML models: Design, implement, and evaluate machine learning models, applying advanced techniques to solve complex problems in a fast-paced tech landscape.
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.
Experience you’ll bring:
Educational Foundation: Currently pursuing a Bachelor'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.
Strong Programming Skills: Proficient in coding (Python, Java, Go, etc), automated testing, and system monitoring.
AI/ML Expertise: Solid understanding of machine learning algorithms, techniques, and best practices.
Data-driven mindset: Experience working with data, including data analysis, manipulation, and visualization.
Preferred Skills:
Experience with cloud computing platforms (AWS, Azure, GCP).
Familiarity with DevOps practices and tools.
Contributions to open-source projects or publications in relevant conferences.
Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, anomaly detection, and related tools.
Customer-Centric: A strong desire to solve customer and business problems through thoughtful and effective solutions.
Solution-Oriented: Desire to learn robust design solutions for small to medium-scale problems or system components.
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. For example, proactively utilizing GenAI tools to streamline workflows and build cutting-edge solutions.
Passion for Innovation: Enthusiasm for working with big data technologies, AI/ML, risk engineering, and cloud infrastructure.