Platform Engineer Intern

Description

About DataVisor:

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Summary

As a platform engineer intern, you will learn how to build a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager-to-learn engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.

This position is ideal for those who are majoring in Computer Science or Computer engineering who would like to gain some hands-on experience in fraud detection and machine learning before graduation. This 3 to 6 months internship could lead to a full-time position after graduation.

What you'll do:

• Design and build machine learning systems that process data sets from the world’s largest consumer services
• Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
• Build and optimize systems, tools, and validation strategies to support new features
• Help design/build distributed real-time systems and features
• Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
• Develop new systems on top of realtime streaming technologies (e.g. Kafka, Flink)

Requirements

• BS/MS students majoring in Computer Science, Engineering or a related subject, Current students enrolled in a post-secondary program (BS or MS) who are majoring in computer science, information management, or a related field of Ireland based college or university. Ideally in his/her last school year
• EU citizen who is Ireland resident or permanent resident of Ireland
• Proven working experience in Java, Shell, Python development
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
• Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
• Experience in the Spring Framework is a plus
• Experience with test-driven development is a plus
• Strong communication and interpersonal skills

Benefits

• Gain valuable hands-on experience
• Work closely with experienced professionals in the field
• Opportunity to contribute to real projects
• Flexible schedule and hybrid work