WEX is looking to solve real-world challenges in FinTech by developing and deploying AI/ML models, working with big data and risk technologies, and contributing to a dynamic and innovative team.
Requirements
- Proficient in coding using languages like Python, Java, Go, etc, automated testing, and system monitoring or other relevant programming languages.
- Solid understanding of machine learning algorithms, techniques, and best practices.
- Experience working with data, including data analysis, manipulation, and visualization.
- Experience with cloud computing platforms (AWS, Azure, GCP).
- Familiarity with DevOps practices and tools.
- Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, anomaly detection, and related tools.
Responsibilities
- Contribute to impactful projects: Work on challenging projects that leverage AI/ML to address critical business needs in areas like fraud prevention, credit risk assessment, and data-driven decision making.
- 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.
Other
- Currently pursuing an undergraduate degree in Computer Science, Machine Learning, or a related field.
- 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.
- Highly motivated, curious, and eager to explore new technologies and apply them to enhance productivity and deliverables.
- Enthusiasm for working with big data technologies, AI/ML, risk analysis, and cloud infrastructure.
