We are seeking a talented Data Engineer specialized in Machine Learning to join our dynamic team focused on combating fraud and abuse. In this role, you will be responsible for designing, developing, and implementing robust data pipelines and machine learning models that identify and mitigate fraudulent activities. Your work will directly impact our ability to protect our users and maintain the integrity of our platform. You will collaborate with cross-functional teams, including data scientists, product managers, and security experts, to translate business requirements into scalable data solutions.
The ideal candidate will have a strong background in data engineering and a solid understanding of machine learning concepts. You will be tasked with ingesting and processing large datasets, ensuring data quality, and optimizing data flows for real-time analytics. Additionally, you will support the deployment of machine learning models, monitor their performance, and iterate on them based on feedback and evolving threats. Proficiency in programming languages such as Python or Java, along with experience in big data technologies like Hadoop, Spark, or Kafka, is essential. Familiarity with cloud platforms (AWS, GCP, or Azure) and tools for data visualization will be considered a significant advantage.
If you are passionate about leveraging data to fight fraud and are excited about building innovative solutions in a fast-paced environment, we encourage you to apply. Join us in our mission to create a secure and trustworthy platform while developing your career in data engineering and machine learning.
Data Engineer - Machine Learning | Fraud & Abuse
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