AI/ML Engineer at DataVisor
Interview Preparation Plan
As an AI/ML Engineer at DataVisor, you will be instrumental in developing and maintaining cutting-edge AI-powered fraud and risk management solutions. This role involves architecting and optimizing high-throughput data pipelines, deploying and managing both unsupervised (UML) and supervised (SML) machine learning models, and contributing to the creation of AI-driven features. You will work with large-scale distributed systems and leverage state-of-the-art technologies, including LLMs, to build intelligent automation for real-time fraud detection and prevention. The position requires a strong foundation in machine learning principles, a deep understanding of distributed systems, and hands-on experience with big data frameworks. You will collaborate with cross-functional teams to enhance model performance, ensure data quality, and implement robust security measures, playing a key role in protecting organizations from evolving digital threats.
Key Responsibilities
- Architect, build, and maintain high-throughput data pipelines using distributed data frameworks (e.g., Spark, Kafka, Flink).
- Deploy, monitor, and optimize both Unsupervised (UML) and Supervised (SML) machine learning models in production.
- Develop and integrate AI applications, potentially leveraging Generative AI and LLMs for intelligent automation.
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