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Mid-level ML role in Bangalore with moderate brand and specialized fraud/CV skills attracts moderate competition.
Medium because core ML/CV skills transfer, but fraud/deepfake specialization increases domain specificity.
High because of explicit 6+ years requirement and mandatory deepfake/deployment experience.
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Own and develop critical fraudulent computer vision models shaping Jumio's fraud product offerings.
Design and implement machine learning, deep learning, and computer vision algorithms focused on fraud detection.
Deploy and maintain ML models in production environments using AWS SageMaker or edge devices, ensuring robustness and reliability.
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
6+ years of commercial experience in machine learning/deep learning (excluding study time).
Experience training deep learning models for deepfakes, synthetic data, or generative AI data detection.
Proficient with PyTorch or TensorFlow, SKLearn, developing production-grade Python code, and implementing ML model monitoring and maintenance best practices.
Strong expertise in deep learning and computer vision specifically applied to fraud detection challenges.
Experience converting machine learning metrics into business/product goals and deploying models in cloud (AWS) environments.
Able to work collaboratively in an Agile environment and stay current with latest ML research relevant to fraud and identity verification.