Data Scientist
Tasks
- Build AI and ML solutions
- Build embeddings and vector search solutions
- Create LLM applications with evaluation
- Create and present sprint review demos
- Deliver end to end data science and engineering
- Develop and deploy machine learning models
- Develop prompt engineering and agent workflows
- Implement RAG and LLM evaluation
- Monitor and version ML models in production
- Review and correct AI generated outputs
Perks/Benefits
Skills/Tech-stack
API Integration | Agentic coding | Embeddings | GitHub Copilot | LLM Evaluation | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Matplotlib | Model Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | Prompt engineering | Prompt workflows | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Vector Databases
Education
N/A
Roles
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