Flagright helps businesses stop financial crime with an all-in-one platform for AML compliance & fraud use cases. Our developer-friendly API enables customers to set up their infrastructure in just 4 days. We are a Y Combinator company based in Berlin, Germany, serving customers from 6 continents.
Financial institutions face significant financial crime risks, including money laundering and fraud. These risks can not only result in financial losses and reputational damage for the businesses, but also harm consumers and society as a whole. Consumers may lose their savings if their accounts are used for money laundering purposes, and society may suffer from the negative impacts of terrorist financing and other illegal activities. We believe in enabling businesses with a fast, easy, and affordable security infrastructure.
As a Machine Learning Engineering Intern at Flagright, you will work on designing and developing algorithms and models that drive intelligent decision-making across our services. This will be accomplished by implementing end-to-end data workflows, processing, tagging, and publishing, with an eye towards improving ML model performance over time. You will be asked to coordinate internal and external resources, technology stack and algorithmic approach.
This is a remote position, so you will need to be self-motivated and able to work independently under minimal supervision. At Flagright, we offer exciting career growth opportunities for motivated individuals who are looking to take the next step in their careers. If you are highly driven, enthusiastic, and looking for an exciting opportunity to join an early-stage startup, we want to hear from you.
Please note, remote candidates will be hired as a contractor via Deel.com
Go, NoSQL Columnar DBs (Cassandra/DynamoDB), Node.js, React, Typescript, Spark, Kafka
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