Data Scientist ( AI & ML Expert)

We're looking for a highly skilled Data Scientist (AI & ML) to join our cutting-edge product team . This role is critical in advancing our AI-driven solutions, especially in identity verification, fraud detection, OCR, facial recognition, and compliance automation. You will work closely with cross-functional teams to design, build, and scale ML models that improve accuracy, speed, and fraud resilience.

Key Responsibilities{{:}

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• Develop and optimize AI/ML models for{{:
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• } OCR (Optical Character Recognition) for identity documen
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• s Facial recognition and biometric verificati
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• n Liveness detection and deepfake preventio
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• Fraud detection and anomaly detection syste
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• s Research and implement state-of-the-art algorithms in CV, NLP, and deep learni
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• g Collaborate with engineering and product teams to integrate ML models into production-grade syste
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• s Clean, analyze, and preprocess large-scale datasets, including image, video, and te
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• t Conduct A/B testing and model performance evaluati
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• n Continuously monitor, retrain, and improve model accuracy and efficien
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• y Publish documentation and maintain model versioning pipelin
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• s Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related fie
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• d 3+ years of experience in AI/ML roles (preferably in a SaaS product or Fintech domai
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• ) Strong hands-on experience with Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, and Ker
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• s Experience working with computer vision, OCR models (Tesseract, EasyOCR, etc.), face recognition libraries (e.g., FaceNet, Dlib), and liveness detecti
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• n Proficiency with cloud services (AWS/GCP/Azure) for model training and deployme
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• t Familiarity with MLOps tools, version control (Git), and containerization (Docke
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• ) Strong analytical thinking and problem-solving skil
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• s Experience in building and deploying ML models in a real-time production environment is a strong pl
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s Preferred Qualifications{{

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• }} Experience in fintech, fraud detection, or identity verification platfo
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• ms Exposure to RegTech, AML compliance, or KYC framewo
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• ks Familiarity with tools like Airflow, MLflow, or Kubef
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• ow Published research or projects in the field of AI/ML