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Metro Bangalore and a common ML title but niche fraud/CV specialization reduces applicant density.
Specialized fraud and deepfake CV expertise strongly favors candidates from identity, security, or computer vision domains.
Explicit 6+ years requirement and mandatory deepfake/CV production experience makes filters strict.
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Develop, maintain, and own key fraudulent computer vision models that drive Jumio's fraud detection product offerings.
Design and implement machine learning and deep learning algorithms focused on fraud detection, deploying models as AWS SageMaker endpoints or on devices.
Research and integrate latest advancements in ML, deep learning, and computer vision to ensure robust and reliable production models.
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
Minimum 6+ years of commercial experience in machine learning/deep learning (excluding study time).
Experience training deep learning models for deepfake, synthetic data, or generative AI data detection.
Hands-on experience with PyTorch or TensorFlow, SKLearn, and developing production-grade Python code.
Strong expertise in applying deep learning and computer vision techniques specifically to fraud detection problems.
Demonstrated ability to convert machine learning metrics into product goals and deliver production-quality ML solutions.
Experience working in Agile environments collaborating with engineers and product managers, possibly in global teams across timezones.