Research Scientist (AI/ML, NLP & Information Retrieval)
Tasks
- Assess experimental results for business impact
- Assess state of the art techniques
- Build machine learning solutions
- Collaborate on ML integration
- Communicate results to stakeholders
- Contribute to generative AI research
- Contribute to information retrieval research
- Contribute to recommendation system research
- Contribute to scientific publications and patents
- Develop scalable reproducible ML pipelines
- Evaluate embedding models
- Fine-tune transformer models
- Maintain software and data assets
- Perform feasibility studies and data analysis
- Research novel AI ideas
Perks/Benefits
Skills/Tech-stack
ChromaDB | Contrastive Learning | Data Analysis | Databricks | Deep learning | Elasticsearch | Embedding Models | Exploratory Data Analysis | Faiss | Generative AI | Git | Hugging Face | Information Retrieval | Knowledge graphs | LLMs | Langchain | Langgraph | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Pandas | Pinecone | PyTorch | Python | RAG | Recommendation Systems | Representation Learning | SQL | Scikit-learn | Transformer Models | Vector Databases
Education
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