Machine Learning Architect
1 week ago
Fraud detection and risk mitigation are critical components of modern business operations. At the forefront of this effort is DataVisor's AI-powered platform, which boasts industry-leading detection capabilities.
About the RoleWe're seeking skilled machine learning engineers to join our team in designing and building innovative systems that process vast amounts of data from consumer services worldwide.
Key Responsibilities:- Design and develop complex machine learning models using unsupervised, supervised, and deep learning techniques to detect fraudulent behavior.
- Build and optimize large-scale data pipelines leveraging big data technologies like Spark, Hadoop, HBase, and Cassandra.
- Collaborate with cross-functional teams to design and implement distributed real-time systems and features.
To be successful in this role, you'll need:
- 0-3 years of software development experience.
- Strong proficiency in Java, Shell, and Python programming languages.
- Excellent knowledge of relational databases, SQL, and ORM technologies (e.g., JPA2, Hibernate).
- Familiarity with Apache Kafka, Apache Flink, or similar streaming technologies is a plus.
As a valued member of our team, you can expect:
- A flexible schedule and competitive compensation package.
- A comprehensive benefits program, including paid time off and health insurance.
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