Related skills
python computer vision machine learning kyc fraud detectionπ 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.
π― 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.
π Benefits
- Work-from-home arrangement
- Equal opportunity employer
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