Computer Vision Engineer – Agentic AI

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🔥 9 minutes ago

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Logo of Binance

Binance

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

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.

📋 Description

• Support the development and optimization of computer vision models to enhance our product features. • Write clean, efficient Python code using modern frameworks such as PyTorch (and TensorFlow where relevant) for model training, inference, and deployment. • Assist with integrating computer vision solutions into existing systems and workflows. • Stay curious about the latest advancements in computer vision, large language models (LLMs), and multimodal AI, and share fresh ideas with the team. • Participate in code reviews, stand-ups, and team discussions to build strong engineering practices. • Contribute to research experiments and help translate promising ideas into practical prototypes. • Collaborate with cross-functional teams (engineering, product, data) in an agile setting.

🎯 Requirements

• - Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. • - Solid understanding of computer vision fundamentals (e.g., object detection, image segmentation, feature extraction) and exposure to LLMs or multimodal models. • - Proficiency in Python and experience (or strong interest) with PyTorch or TensorFlow. • - Familiarity with KYC pipelines, document analysis, or OCR processes is a strong plus. • - Any personal projects, GitHub contributions, Kaggle competitions, or academic research in computer vision is highly valued. • - Nice to have: Experience building agentic AI systems — autonomous agents that can reason, plan, and act across tools and workflows. • - Hands-on exposure to model deployment (e.g., ONNX, TorchServe, or cloud inference). • - Basic knowledge of MLOps practices, version control (Git), and cloud platforms (AWS/GCP/Azure).

🏖️ Benefits

• Real-world experience shipping computer vision features. • Mentorship from senior engineers and exposure to production-grade AI systems. • Opportunity to work on impactful projects at the intersection of vision and language models. • 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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