Data Scientist | Capital Markets
Tasks
- Apply large language models and machine learning for automation
- Deliver client communications and executive insights
- Deploy scale and operationalize AI solutions in production
- Design and implement LLM based agentic workflows
- Develop NLP machine learning LLM solutions
- Identify emerging trends in LLMs and NLP
- Implement data sourcing curation documentation governance
- Monitor model performance and run continuous improvement
- Orchestrate multi step tool integrated workflows
- Partner with stakeholders to define data problems
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Agentic Workflows | Data Governance | Data Modeling | Fine Tuning | LLM orchestration | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Fine-tuning | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation
Education
N/A
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