DataVisorDA

Software Engineer Internship - Ireland

DataVisor is an AI-powered fraud and risk management platform that utilizes unsupervised machine learning to help enterprises detect and prevent various digital threats in real-time.

DataVisor

Employee count: 51-200

Ireland only

DataVisor is a next generation security company that utilizes industry leading unsupervised machine learning to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce and money laundering. Our solution is used by some of the largest internet properties in the world, including Pinterest, FedEx, AirAsia, Synchrony Financial, Zomato and Ping An, to protect them from the ever-increasing risk of fraud. Our award-winning software is powered by a team of world-class experts in big data, 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
  • Canadian citizen, 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.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Entry-level

Location requirements

Hiring timezones

Ireland +/- 0 hours

About DataVisor

Learn more about DataVisor and their company culture.

View company profile

DataVisor is a global leader in AI-powered fraud and risk management. Founded in 2013, the company provides an end-to-end Software-as-a-Service (SaaS) platform that leverages advanced artificial intelligence and machine learning capabilities to protect large consumer-facing enterprises and financial institutions from a wide array of digital threats. These threats include fraudulent transactions, spam, fake reviews, promotion abuse, fake application installs, identity theft, and money laundering. DataVisor's mission is to build and restore trust online by enabling organizations to proactively combat evolving fraud patterns in real-time.

The company's platform is distinguished by its patented unsupervised machine learning (UML) technology. This approach allows the system to identify new and unknown malicious actors and coordinated fraud rings without relying on historical labels or training data, which is crucial for staying ahead of sophisticated and rapidly changing attack vectors. DataVisor's solutions are designed to be data-agnostic, capable of ingesting and analyzing vast amounts of data from various sources to provide a holistic view of risk. The platform offers comprehensive capabilities including data orchestration, real-time feature computation, a flexible decision engine, and powerful case management tools. It is built to scale, handling high transaction volumes with low latency, making it suitable for some of the world's largest organizations. DataVisor serves a diverse range of industries, including financial services, banking, credit unions, fintech, e-commerce, social platforms, and digital payments, helping them to reduce fraud losses, improve operational efficiency, minimize customer friction, and ensure regulatory compliance.

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DataVisor

Company size

51-200 employees

Founded in

2013

Chief executive officer

Yinglian Xie, Fang Yu

Employees live in

View company profile

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DataVisor hiring Software Engineer Internship - Ireland • Remote (Work from Home) | Himalayas