Scientist - Data, Global Artificial Intelligence & ML
Tasks
- Apply risk appetite considerations to model decisions
- Build and evaluate NLP models for information extraction
- Collaborate with data engineers and software developers
- Create prompt strategies for large language models
- Define machine learning best practices with stakeholders
- Deploy document understanding solutions into production
- Design data pipelines for structured and unstructured data
- Develop machine learning models for document understanding
- Preprocess analyze unstructured documents with Python
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Continuous Delivery | Continuous integration | Data Pipelines | Deep learning | DevOps | Document processing | Generative AI | Git | Hadoop | Information Extraction | Jira | Language Models | Language Processing | Large Language Models | Machine Learning | NLP | Natural Language | Natural Language Processing | OCR | Power BI | Prompt engineering | Python | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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