Multimodal LLM Algorithm Engineer Graduate (Global E-Commerce, Knowledge Graph) - 2027 Start
Tasks
- Build business agents using rag and tool calling
- Build multimodal product catalog systems
- Build pricing comparison and monitoring algorithms
- Construct multimodal semantic links for content commerce
- Design identity preserving visual creative generation
- Detect pricing anomalies
- Develop generative search and recommendation models
- Develop identical product matching algorithms
- Implement product deduplication and cross lingual aggregation
- Implement virtual try on and background synthesis
- Own end to end algorithm workflow
Perks/Benefits
- N/A
Skills/Tech-stack
Agent planning | Anomaly Detection | Clustering | Computer Vision | ControlNet | Deep learning | Diffusion | Distributed Training | Embeddings | GANs | Generative Models | Inference Optimization | LLM serving | Language Models | Large Language Models | Machine Learning | Mixed Precision | Model Deployment | Model Training | Model Tuning | Multimodal Learning | NLP | PyTorch | Python | RAG | Retrieval-Augmented Generation | Semantic Matching | TensorFlow | TensorRT | Tool-Calling | Virtual Try On | Vision-language
Education
N/A
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