数据挖掘算法工程师/专家
Tasks
- Build data mining and intelligent analysis capabilities
- Construct reusable data mining toolchains
- Develop embedding retrieval and vector database pipelines
- Develop machine learning and deep learning algorithms
- Discover scenarios
- Filter and select data samples
- Implement algorithm solutions
- Improve data production quality and evaluation
- Mine data for AI models
- Support large-scale data analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Apache Spark | C++ | CLIP | Classification | ClickHouse | Clustering | Convolutional Neural Network | Data Mining | Deep learning | Doris | Elasticsearch | Embedding | Faiss | Feature Engineering | Feature extraction | Flink | GBDT | Generative learning | Graph Learning | HNSW | Hadoop | Hive | Java | Machine Learning | Milvus | MindSpore | Multi-Modal | Multi-modal Understanding | Multimodal Learning | Neural Network | PySpark | PyTorch | Python | Random Forest | Ranking | Recurrent Neural Network | Reinforcement Learning | Scala | Similarity Search | TensorFlow | Transfer Learning | Transformer | Vector Database | Vector similarity | Vector similarity search
Education
Regions
Countries
States
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