Data Scientist – CV, Agentic AI

3 days ago

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Logo of Binance

Binance

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

📋 Description

• Design, develop, and assess AI models focused on detecting P2P scams, with a particular emphasis on document verification and payment proof tampering. • Research and prototype large language model (LLM)-based solutions to enhance automated detection, generate interpretable rule-based explanations, and support scam pattern discovery. • Investigate and implement cutting-edge image embedding techniques to extract meaningful features for downstream applications such as clustering and classification. • Collaborate closely with data scientists and engineers to optimize the detection pipeline and deliver actionable insights to key stakeholders.

🎯 Requirements

• Currently enrolled as a full-time or part-time undergraduate, Master’s, or PhD student, or a recent graduate. • Solid understanding of AI principles and mathematical foundations, including deep learning, generative AI, reinforcement learning, prompt engineering, and optimization techniques. • Strong interest in Agentic Prompt Engineering and its applications. • Commitment to a minimum duration of 1 year. • Proficiency in programming languages, particularly Python and SQL. • Practical experience in developing computer vision and/or image analysis models.

🏖️ Benefits

• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

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