Senior Research Scientist (AI/ML, NLP & Information Retrieval)
Tasks
- Adapt state of the art methods to solve AI problems
- Collaborate with applied ai and engineering teams
- Communicate research findings to stakeholders
- Design and run advanced experiments
- Develop scalable reproducible machine learning solutions
- Drive innovation in Generative AI
- Drive innovation in NLP
- Drive innovation in information retrieval
- Drive innovation in recommendation systems
- Lead machine learning innovation development
- Mentor and support other scientists
- Promote scientific rigor and best practices
- Publish research and submit conference papers
- Research and evaluate AI techniques
Perks/Benefits
Skills/Tech-stack
ChromaDB | Databricks | Deep learning | Elasticsearch | Embeddings | Faiss | Generative AI | Git | Hugging Face | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Pandas | Pinecone | PyTorch | Python | RAG | Recommendation Systems | Representation Learning | Retrieval-Augmented Generation | SQL | Scikit-learn | Transformer Models | Vector Databases
Education
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