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About
- Duration: 3 months
- Type: Paid internship
- Start Date: Flexible
- Currently enrolled in a Masters or Ph.D. program in Computer Science, Machine Learning, NLP, or related field
- Strong background in Natural Language Processing (NLP)
- Hands-on experience in at least one of the following areas:
- Embedding-based retrieval systems
- Representation learning using deep learning
- Reliable LLM/RAG/Agentic systems
- Experience with fine-tuning embedding models
- Published papers in NLP, representation learning, or related fields
- Familiarity with modern ML frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience with vector databases and similarity search systems
- Design and implement advanced semantic caching systems
- Develop and optimize embedding-based retrieval mechanisms
- Research and experiment with state-of-the-art NLP models
- Contribute to the development of reliable AI systems
- Collaborate on research that may lead to publications
- Resume/CV highlighting relevant experience and publications
- Links to any relevant projects, papers, or GitHub repositories
Languages
- English
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