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python pytorch machine learning kyc spark📋 Description
- Own and drive the data science vision for Identity & Compliance across products.
- Lead, build, and develop a high-performing data science team.
- Architect and deploy advanced ML systems for identity verification, entity resolution, and risk modeling.
- Drive graph-based intelligence with graph neural networks and link analysis.
- Lead design and implementation of agent-based AI systems for automated decisioning.
- Partner with Product, Engineering, Risk, and GTM to deliver customer value.
🎯 Requirements
- Advanced degree (MS/PhD preferred).
- 10+ years in data science and ML delivering production-grade AI at scale.
- Significant identity verification, KYC/AML, fraud detection, or risk modeling experience.
- Proven leadership of high-performing data science teams.
- Deep expertise in ML techniques: deep learning, graph neural networks, entity resolution, large-scale data systems.
- Hands-on with Apache Spark and Python; PyTorch; familiarity with graph ML is a plus.
- Excellent ability to engage with customers and external stakeholders.
🎁 Benefits
- Work on challenging identity and fraud problems.
- Build AI systems at the intersection of graph intelligence and autonomous agents.
- Join a fast-moving, high-caliber team that values innovation and ownership.
- Competitive compensation, equity, and benefits.
- Opportunity to shape the future of digital identity at global scale.
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