Machine Learning Engineer
Zefr(3 months ago)
About this role
A Machine Learning Engineer at Zefr focuses on the development and implementation of natural language processing and computer vision models for analyzing social media content on platforms like YouTube and TikTok. This role involves leveraging state-of-the-art transformer models, semantic and image similarity search, and managing large-scale data pipelines using technologies such as Python, SQL, and various data processing tools. The engineer will work on optimizing classifiers and contribute to sophisticated AI systems, while staying updated with advancements in machine learning and data science.
Required Skills
- Machine Learning
- Natural Language Processing
- Computer Vision
- Algorithm Development
- Data Pipelines
- Large Language Models
- Vector Search
- Semantic Search
- Image Similarity
- Cost Quality Balance
+22 more
Qualifications
- Bachelor's or Master's degree in Computer Science or related field
About Zefr
zefr.comZefr is a leading technology company specializing in AI-powered content classification for digital advertising, focusing on brand safety and suitability in complex social platforms. With patented AI technology, Zefr processes billions of content types daily to ensure brands' advertising effectiveness while upholding social responsibility and compliance. The company's solutions enable effective targeting and post-campaign verification, making them an essential partner for brands navigating the digital landscape. Zefr is committed to delivering transparency and innovative solutions, which positions them at the forefront of the brand suitability market.
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