Data Scientist, KYC Anti Fraud

Added
1 day ago
Type
Full time
Salary
Salary not provided

Related skills

python computer vision machine learning kyc fraud detection

πŸ“‹ Description

  • Develop in-house KYC and anti-fraud solutions (ID forgery, doc verification).
  • Design, train, and fine-tune CV/LLM models for fraud detection.
  • Analyze large-scale, unlabeled datasets to identify patterns and features.
  • Collaborate with engineering to deploy models to production.
  • Monitor production performance and iterate to reduce false positives.

🎯 Requirements

  • Bachelor's degree in CS, Data Science, AI, or related field.
  • Strong Python experience with ML libraries.
  • Solid CV/ML/AI fundamentals.
  • Experience with computer vision techniques (image preprocessing, OCR).
  • Familiarity with model training, fine-tuning, evaluation.
  • Ability to work with large-scale datasets and perform EDA; strong problem solving.

🎁 Benefits

  • Work-from-home arrangement
  • Equal opportunity employer
  • Candidate Privacy Notice
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