多模态大数据算法开发工程师
Tasks
- Build automated data quality inspection and anomaly detection
- Build multimodal data quality metrics
- Develop VLM based prelabeling pipeline
- Extract knowledge graph and train data for language models
- Generate and augment training data with generative models
- Perform ASR transcription and proofreading
- Perform multimodal data cleaning and preprocessing
- Produce labeled dialogue and NLP corpora
- Run deduplication and similarity analysis
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Anomaly Detection | Automated Labeling | C++ | Computer Vision | Data Deduplication | Data Mining | Data Quality | Data Quality Evaluation | Data quality inspection | Diffusion Models | Emotion recognition | Generative Modeling | Knowledge graph | LLM | Language Processing | Machine Learning | Multimodal Processing | Natural Language | Natural Language Processing | PyTorch | Python | Quality evaluation | Quality inspection | Similarity Analysis | Speech Emotion Recognition | Speech Processing | Time Synchronization | VLM | Video decoding
Education
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Countries
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