[Remote] AI/ML Engineer

Note: The job is a remote job and is open to candidates in USA. DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. The AI/ML Engineer will serve as a technical architect for the Intelligence Layer and Data Consortium, focusing on building high-scale systems to power fraud intelligence and developing AI applications using state-of-the-art large language models.

Responsibilities

• Architect and maintain high-throughput data pipelines (using Spark, Kafka, or Flink) to ingest, process, and aggregate real-time signals—such as device fingerprints and behavioral biometrics—into our central intelligence graph
• Optimize distributed systems to support our global data network, ensuring the platform can handle 10,000+ Transactions Per Second (TPS) with P99 latency under 150ms
• Build agentic flows and AI applications by leveraging state-of-the-art, out-of-the-box LLMs (e.g., OpenAI, Anthropic, Google) to enable natural language interaction, intelligent rule merging, and automated fraud strategy recommendations
• Deploy and maintain pipelines for both Unsupervised (UML) and Supervised (SML) models, integrating them with our API to enable real-time scoring and decisioning
• Implement robust security measures, including tokenization and hashing, to ensure PII privacy and compliance across our shared intelligence network
• Work closely with Data Science, Product, Strategy, Delivery, and Engineering teams to develop, validate, and optimize machine learning models and AI-driven features

Skills

• 1-5 years of experience in Machine Learning Engineering, Data Engineering, or Backend Engineering
• Proven ability to design distributed, cloud-native systems for high-throughput applications
• Experience with AWS and containerization (Docker/Kubernetes) is critical
• Strong hands-on experience with distributed data frameworks such as Spark, Kafka, or Flink
• Production-grade skills in Python and at least one compiled language (e.g., Java or C++)
• Experience building or integrating LLM applications (LangChain, Vector DBs, RAG architectures)
• Background in real-time decision engines or stateful stream processing
• Knowledge of fraud or risk domains is a plus, but not required

Benefits

• Comprehensive medical, dental, and vision coverage
• 401(k) retirement plan
• Flexible Time Off (FTO) and paid holidays
• Opportunities for R&D exploration and professional development
• Regular team-building events and a collaborative, innovative culture

Company Overview

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