DescriptionJob Responsibilities:
- Development and implementation of LLM-based solutions for compliance and risk management use cases.
- Assist in researching and applying LLM techniques to improve automation document analysis and risk detection in the CCOR domain.
- Work with team members and stakeholders to gather requirements and contribute to solution design.
- Communicate technical findings and project updates to both technical and non-technical audiences.
- Help maintain and enhance tools and processes for LLM model evaluation and optimization.
Analyze data and model outputs to assess performance and suggest improvements.
Required Qualifications and Skills:
- Master/Bachelors degree in a quantitative discipline (e.g. Computer Science Statistics Economics Mathematics) or related field.
- 2 years of experience in AI with exposure to Machine Learning LLMs or NLP technologies preferred.
- Programming skills in Python; familiarity with NLP libraries
- Understanding of language modeling concepts and general AI principles.
- Experience with data analysis and interpretation.
- Strong analytical and problem-solving skills with the ability to communicate results clearly.
Familiarity with data structures and algorithms is desirable.
Required Experience:
IC
DescriptionJob Responsibilities:Development and implementation of LLM-based solutions for compliance and risk management use cases.Assist in researching and applying LLM techniques to improve automation document analysis and risk detection in the CCOR domain.Work with team members and stakeholders t...
DescriptionJob Responsibilities:
- Development and implementation of LLM-based solutions for compliance and risk management use cases.
- Assist in researching and applying LLM techniques to improve automation document analysis and risk detection in the CCOR domain.
- Work with team members and stakeholders to gather requirements and contribute to solution design.
- Communicate technical findings and project updates to both technical and non-technical audiences.
- Help maintain and enhance tools and processes for LLM model evaluation and optimization.
Analyze data and model outputs to assess performance and suggest improvements.
Required Qualifications and Skills:
- Master/Bachelors degree in a quantitative discipline (e.g. Computer Science Statistics Economics Mathematics) or related field.
- 2 years of experience in AI with exposure to Machine Learning LLMs or NLP technologies preferred.
- Programming skills in Python; familiarity with NLP libraries
- Understanding of language modeling concepts and general AI principles.
- Experience with data analysis and interpretation.
- Strong analytical and problem-solving skills with the ability to communicate results clearly.
Familiarity with data structures and algorithms is desirable.
Required Experience:
IC
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