Internship - Internship - Applied AI & Cloud Engineering

Capital Fund Management (CFM); Paris; On-site; EUR 13,000 - 20,000; Full time

Job summary

Capital Fund Management (CFM) seeks a final-year Master’s student to join an AI-powered research and deployment project in Paris. You will help build scalable cloud-based systems, integrating AI models, data pipelines, and validation workflows.

This internship blends applied AI engineering, software development, and cloud operations, offering hands-on experience from prototype to production while contributing to a state-of-the-art framework used by quantitative researchers.

Qualifications

• Final-year Master’s student in computer science, data engineering, software engineering, or related field.
• Interest in building AI-powered systems and operating them reliably at scale.
• Familiarity with structured and relational data stores, and software engineering best practices (Git, testing).
• Experience with LLM-based systems, data pipelines, API integration, CI/CD, or cloud platforms is a plus.

Responsibilities

• Improve the system by identifying limitations and enhancing output quality.
• Prepare for production: deploy in the cloud, implement monitoring, CI/CD, and long-term maintainability.

Skills

LLM systems

Data pipelines

API integration

CI/CD

Cloud platforms

Git & testing

English proficiency

Education

Master’s degree in progress (M2) in CS or related field

Tools

Git

CI/CD tooling

Cloud platforms tooling

Job description

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Paris, 75, FR

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.

Your Role

You will join a team working on an AI-powered tool built on large language models to automate complex analytical tasks, to improve its performance, address known limitations, and contribute to its cloud deployment.

This internship brings together applied AI engineering, software development, and cloud deployment, and offers a chance to take a real AI system from research prototype to production improving both its capabilities and the infrastructure behind it.

Key Responsibilities

Improve the system

• Identify limitations and improve the quality of its outputs.
• Work with structured and relational data.
• Strengthen the evaluation framework used to measure progress.

Prepare it for production

• Deploy the system in the cloud, using technologies such as containerization, orchestration, and serverless components.
• Implement monitoring, logging, and alerting to support reliable operation.
• Establish testing and CI/CD practices for safe, repeatable deployments.
• Document the system and prepare it for long‑term maintenance.

Your Skills

You are a final‑year Master’s student (M2) in computer science, data engineering, software engineering, or a related field. You’re interested in building AI‑powered systems and operating them reliably at scale, and curious about the intersection of applied AI and cloud engineering.

You bring:

• - An interest in structured and relational data stores.
• - Familiarity with software engineering best practices, including Git and testing.
• - Professional proficiency in English; French is a plus.

Experience with LLM‑based systems, data pipelines, API integration, CI/CD, or cloud platforms would be an advantage.

You’re also autonomous, analytical, and rigorous in your problem-solving. You communicate clearly, enjoy collaborating, and are motivated to learn in a demanding, high‑standard environment.

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 .