Data Scientist Internship

Pigment; Paris; Sur place; EUR 20 311 - 24 328; Plein temps

Avantages offerts par ce poste

Competitive remuneration package

Opportunity for continued employment after internship

Flexible working environment

Résumé du poste

A tech company specializing in AI solutions is seeking a Data Scientist Intern to contribute to projects focusing on Large Language Models. This role involves hands-on experience with fine-tuning techniques, testing model performance, and collaborating closely with engineering teams. The intern will work in a hybrid environment based in the heart of Paris, benefiting from a competitive salary and the opportunity for future employment after the internship.

Qualifications

• Hands-on experience in fine-tuning Large Language Models.
• Ability to experiment rigorously and translate insights.

Responsabilités

• Contribute to advancing use of Large Language Models.
• Experiment with fine-tuning techniques.
• Benchmark model performance and accuracy.
• Identify trade-offs between accuracy, speed, and cost.
• Collaborate with engineers and data scientists.

Connaissances

Fine-tuning techniques (LoRA, QLoRA, PEFT)

Benchmarking performance and accuracy

Data insights translation

Understanding of ML and MLOps

Python programming

Formation

Currently pursuing a degree in Data Science, AI, or related field

Outils

Weights & Biases

Hugging Face Hub

Google Cloud Platform

Docker

Kubernetes

PostgreSQL

CircleCI

MLflow

Description du poste

Our Engineering team is responsible for developing our SaaS platform and building a comprehensive and user-friendly product. Pigment engineers participate in the entire application development lifecycle, focusing on design, coding, and keeping the production platform up and running. They can be specialized, but there is no strict separation between infrastructure, backend, and frontend.

We value user-centricity and pragmatism: we choose the most relevant tools for the problem we have to solve, understanding the strengths and constraints of each technology. Our engineering culture also values curiosity, humility, trust, ownership, and team spirit.

Curious to see what we’re building? Check out our Tech Blog!

Your mission

• As a Data Scientist Intern, you will contribute to advancing Pigment’s use of Large Language Models (LLMs) by helping us explore how open-source alternatives can complement or replace commercial APIs. You’ll work closely with our AI engineering and data science teams to design, fine-tune, and evaluate models that improve both efficiency and performance across our product.
• Project Overview: Exploring Fine-Tuned Open-Source Alternatives to Commercial LLMs. This project investigates replacing select calls to commercial large language models with fine-tuned open-source alternatives. The goal is to develop localized models that deliver similar or improved performance while reducing latency and cost.
• As an intern, you will:
  • Experiment with fine-tuning techniques such as LoRA, QLoRA, and other Parameter-Efficient Fine-Tuning (PEFT) methods.
  • Benchmark model performance, accuracy, and inference latency across a range of tasks.
  • Identify and document trade-offs between accuracy, speed, and cost for different fine-tuning and deployment strategies.
  • Contribute to the development of a scalable, cost-effective foundation for custom LLM deployment to complement Pigment’s current stack.
  • Collaborate with engineers and data scientists to design robust evaluation pipelines and share findings internally.
  • You’ll gain hands‑on experience in modern LLM fine‑tuning, LangChain‑based orchestration, and MLOps for model deployment, contributing to research with a direct impact on how AI is embedded into Pigment’s platform.

Technical stack

• Languages & Frameworks: Python, LangGraph
• Data & ML Infrastructure: Weights & Biases, Hugging Face Hub, Google Cloud Platform (GCP), Docker, Kubernetes
• Databases: PostgreSQL
• CI/CD & Experimentation: CircleCI, MLflow, and internal orchestration tools
• We don’t expect you to know them all. What matters most is your ability to learn quickly, experiment rigorously, and translate data insights into actionable results.

€2,000 - €2,000 a month

Work Environment

• Hybrid: possibility to work partially remotely
• Office in the heart of Paris (Paris 9)
• Choose your working environment (hardware / OS)
• A competitive remuneration package
• Opportunity to continue your journey with us after your internship