Data Scientist
Tasks
- Analyze structured and unstructured data
- Apply LLM embeddings RAG semantic search and knowledge graphs
- Build AI powered customer support applications
- Design and implement data pipelines and model pipelines
- Develop ML microservices
- Implement case analysis knowledge retrieval recommendations and classification
- Improve model performance and generate insights
- Transform prototypes and models into production
- Translate requirements into scalable AI solutions
- Understand AI and data science requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Data Pipelines | Elasticsearch | Embeddings | Feature Engineering | Information Retrieval | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Experimentation | Natural Language | Natural Language Processing | Python | Recommendation Systems | Retrieval-Augmented Generation | SQL | Semantic Search | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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