Company Description

YellowSense Technologies is a forward-thinking organization dedicated to leveraging technology to improve the lives of the Next Billion Users (NBU). By utilizing advanced Generative-AI and Predictive Analytics, we aim to create innovative solutions that promote sustainability and drive meaningful impact. We are a close-knit team of passionate individuals committed to making a difference through cutting-edge technology and innovation.

Role Description

This is a full-time, on-site role for an AI/ML DeepFake Detection Engineer based in Bengaluru. The engineer will be responsible for developing and implementing advanced algorithms to detect and counteract DeepFake technologies, working on pattern recognition systems, training and optimizing neural networks, analyzing data, building predictive models, and collaborating on projects that address real-world problems. The role involves both research and practical application of AI and machine learning to provide innovative solutions.

Qualifications

Strong understanding of Pattern Recognition and Neural Networks
Solid foundation in Computer Science, including proficiency in programming and software development
Expertise in Statistics and Algorithms to contribute to data-driven model development
Familiarity with advanced AI/ML frameworks and tools
Problem-solving skills and the ability to work collaboratively in a team environment
Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related field (preferred but not required)

Problems to solve:
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As the financial ecosystem becomes increasingly digital, use of technology serves both as a driver of innovation in transforming financial services and a critical line of defence against emerging risks. Customers are now exposed to a growing array of cyber threats, including phishing, identity theft, data breaches, and unauthorised transactions. Financial institutions also face the challenge of keeping the system safe and avoid fraudulent activities. This necessitates the need to implement technology-driven solutions that can effectively enhance customer safety without compromising convenience, privacy, or financial inclusion. The key challenges for financial institutions include:

1.
Identity fraud and impersonation- Using deepfake, fraudsters mimic faces, voices, or even live video calls making traditional verification system vulnerable and inadequate. Other threats include biometric spoofing and executive/ c-suite impersonation.

2.
Fake banking and digital lending apps There are instances of fake banking and digital lending apps which trick users into revealing sensitive information, steal funds, or coerce vulnerable customers into predatory debt traps. These incidents significantly erode trust in digital financial services.

AI ML Intern: DeepFake Detection

YellowSense Technologies

Job Description

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