Machine Learning Engineer For Fraud Prevention
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Описание: Riskified empowers ecommerce businesses by providing AI-powered fraud and risk intelligence, chargeback protection, fraud and policy abuse prevention, and customer retention solutions.
Its platform analyzes individual interactions to deliver real-time decisions and identity-based insights.
Задачи: Design, build, and maintain reusable AI capabilities spanning models, tools, APIs, and platforms for internal operations and customer-facing products Develop and maintain the internal MCP server to provide AI agents with secure access to Riskified's data stores Create and implement evaluation frameworks and AI guardrails to ensure model reliability and protect Riskified's value Establish sustainable AI engineering practices across the organization Champion AI readiness and track adoption company-wide Build and optimize RAG systems Own projects end to end, from gathering requirements through development, deployment, and ongoing operation Serve as a consultant and advocate for AI engineering, guiding other teams in using created platforms and tools Collaborate with teams across Riskified to accelerate AI adoption and productization Требования: 5+ Years of backend and server-side development experience building complex and highly scalable systems Proficiency in at least one general-purpose programming language Python is preferred Ability to build trust across functions and translate non-technical needs into technical solutions Strong product-oriented thinking and ability to elicit, refine, and prioritize requirements from non-technical stakeholders Deep ownership, DevOps experience, and ability to develop, deploy, and operate projects end to end Ability to influence without authority and communicate with engineers, managers, VP, and C-suite leadership Bias toward driving process improvements and technology adoption High proficiency with AI-assisted coding tools such as Copilot, Cursor, or equivalents Hands-on experience with public cloud platforms such as AWS, GCP, or Azure Fluency in written and spoken English Nice to have: agentic coding tools such as Claude Code or Copilot CLI, Strands Agents or comparable agentic frameworks, RAG architectures, Bedrock, MCP, containerized environments.
Условия: €*- €* Gross annually for candidates based in Lisbon Bonus target for full-time regular employees Eligibility for stock-based awards Flexible schedule Healthcare benefits Monthly benefits package, including work-from-home equipment, gym membership, wellbeing activities, and more Wellness program Celebrations, activities, team events, and happy hours Riskified gifts and swags Volunteer programs Personal development opportunities Global onboarding Role-based technical skills training Full access to Udemy #J-*-Ljbffr