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:
- Develop and optimize AI/ML models for:
- OCR (Optical Character Recognition) for identity documents
- Facial recognition and biometric verification
- Liveness detection and deepfake prevention
- Fraud detection and anomaly detection systems
- Research and implement state-of-the-art algorithms in CV, NLP, and deep learning.
- Collaborate with engineering and product teams to integrate ML models into production-grade systems.
- Clean, analyze, and preprocess large-scale datasets, including image, video, and text.
- Conduct A/B testing and model performance evaluation.
- Continuously monitor, retrain, and improve model accuracy and efficiency.
- Publish documentation and maintain model versioning pipelines.
Requirements
- Bachelor's or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
- 3+ years of experience in AI/ML roles (preferably in a SaaS product or Fintech domain).
- Strong hands-on experience with Python, TensorFlow, PyTorch, OpenCV, Scikit-learn, and Keras.
- Experience working with computer vision, OCR models (Tesseract, EasyOCR, etc.), face recognition libraries (e.g., FaceNet, Dlib), and liveness detection.
- Proficiency with cloud services (AWS/GCP/Azure) for model training and deployment.
- Familiarity with MLOps tools, version control (Git), and containerization (Docker).
- Strong analytical thinking and problem-solving skills.
- Experience in building and deploying ML models in a real-time production environment is a strong plus.
Preferred Qualifications:
- Experience in fintech, fraud detection, or identity verification platforms.
- Exposure to RegTech, AML compliance, or KYC frameworks.
- Familiarity with tools like Airflow, MLflow, or Kubeflow.
- Published research or projects in the field of AI/ML/CV.
