Senior Machine Learning Enginer

Job Summary:

Were seeking a Senior Machine Learning Engineer with deep experience in Risk & Fraud detection systems. In this role, youll lead the design, development, and deployment of ML models that help detect and prevent fraudulent activity in realtime.

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Responsibilities:

• Build and deploy ML models to detect and mitigate fraud risk

• Own the technical roadmap for ML initiatives in RiskFraud

• Partner with Ops teams to respond to realtime fraud scenarios

• Use SQL to extract, transform, and analyze large datasets

• Write scalable, productionready Python code for ML systems

• Design AB tests and statistically sound experiments

• Work crossfunctionally with Engineering, Product, and Risk teams

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  Required Qualifications:

  • 5+ years of experience in Data Science or ML Engineering

  • Strong Python and SQL skills

  • Proven experience deploying ML models in production

  • Experience designing fraud detection systems or risk models

  • Strong communication skills (technical + nontechnical audiences)

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    Preferred (Not Required):

    • Experience in fintech, banking, or financial services

    • Familiarity with realtime fraud mitigation or creditlending systems

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      Perks & Benefits:

      • Competitive base salary + equity

      • Fully remote (U.S. only)

      • Health, dental, and vision insurance

      • Unlimited PTO & flexible schedule

      • 401(k) with company match

      • Paid parental leave

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