Internship - Data Referential Chatbot - New features and Industrialization

ABOUT CFM

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.

We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

Internship Overview :

This internship builds upon an initial project aimed at developing an AI assistant designed to efficiently retrieve information from our data using natural

language processing. Initially, our efforts concentrated on data stored in SQL databases, encompassing only a few dozen tables.

We now aim to expand this project, requiring a system capable of accessing hundreds or even thousands of tables while maintaining speed and highquality

responses.

Additionally, we seek to integrate a wide array of data sources, particularly datasets in parquet format.

Another objective is to enhance dataset documentation capabilities and enable the automatic creation of notebook reports for exploratory data analysis on

these parquet datasets.

The successful candidate will collaborate with cross-functional teams to transform the assistant into a powerful tool that boosts operational efficiency.

Key Responsibilities:

1. Industrialization of the POC:

Develop and deploy the existing Chatbot AI Assistant solution ensuring scalability and reliability.

Implement an authentication system which is in accordance with CFM best practices

Regarding data access, ensure that CFM compliance rules are respected.
2. Benchmarking LLM Models:

Conduct a comprehensive evaluation and benchmarking of different LLMs to identify the most effective model for the assistant's use

case.

Analyze performance metrics, including response accuracy, speed, and resource utilization.
3. Scope Augmentation:

Expand the database, integrating additional data sources that enhance the AI Assistant's capabilities.

Ensure the assistant can cater to a broader range of use cases pertinent to different teams.
4. Integration as a Feature:

Facilitate the seamless integration of the AI Assistant into the existing data-catalog to promote usage across teams.

Collaborate with the UI/UX team to create an intuitive interface.
5. Feature Exploration & Development:

Propose and prototype new features for the Chatbot AI Assistant based on user feedback and specific business needs.

Explore the implementation of a "Data Explorator" able to generate jupyter notebooks with insightful findings.
6. Documentation and Training:

Document the industrialization process, including architecture, deployment procedures, and feature updates.

Desired Skills and Qualifications:

Strong background in computer science, data science, or related fields.

Experience in programming Python, SQL.

Experience with AI / LLMs.

Problem-solving skills and an attention to detail.

Knowledge of cloud architecture, including AWS tools like Lambda, S3, and SageMaker is a plus.

Effective communication and collaboration abilities across multi-disciplinary teams.

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.

CFM is a signatory of the Women Empowerment Principles.

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Strong background in computer science, data science, or related fields.

Experience in programming Python, SQL.

Experience with AI / LLMs.

Problem-solving skills and an attention to detail.

Knowledge of cloud architecture, including AWS tools like Lambda, S3, and SageMaker is a plus.

Effective communication and collaboration abilities across multi-disciplinary teams.