Senior AI/ML Engineer M/F - CDI

AI/ML Engineer

Pierre Fabre is the 2nd largest dermo-cosmetics laboratory in the world, the 2nd largest private French pharmaceutical group and the market leader in France for products sold over the counter in pharmacies.

Its portfolio includes several medical franchises and international brands including Pierre Fabre Oncologie, Pierre Fabre Dermatologie, Eau Thermale Avène, Klorane, Ducray, René Furterer, A-Derma, Naturactive, Pierre Fabre Oral Care.

Established in the Occitanie region since its creation, and manufacturing over 95% of its products in France, the Group employs some 10,000 people worldwide. Its products are distributed in about 130 countries. 86% of the Pierre Fabre Group is held by the Pierre Fabre Foundation, a government-recognized public-interest foundation, while a smaller share is owned by its employees via an employee stock ownership plan.

In 2019, Ecocert Environment assessed the Group's corporate social and environmental responsibility approach in accordance with the ISO 26000 sustainable development standard and awarded it the "Excellence" level.

Pierre Fabre is recognized as one of the "World's Best Employers 2021" by Forbes. Our group is ranked in the Top 3 in the cosmetics industry and in the Top 10 in the pharmaceutical industry worldwide.

Your Mission

We are looking for an experienced AI/ML Engineer to join our Data & AI team within the Data Integration Division of the DAIS (Direction Accélération Information System), based in Lavaur (81).

You will play a key role in the design, development, and industrialization of impactful AI solutions for complex business use cases (R&D medical, manufacturing, marketing, support…).

You will intervene from end to end, from technical framing to large-scale deployment, integrating best MLOps practices and contributing to the structuring of the internal AI platform.

You will join a multidisciplinary team of around twenty people (data experts, data engineers, product owners, architects, cloud experts) in charge of the delivery of structuring Data & AI projects for all group entities.

These projects aim to:

• Accelerate scientific discovery, medical decision-making, and operational performance,
• Automate critical processes (R&D, manufacturing, supply, marketing, etc),
• Integrate cutting-edge technologies (LLMs, NLP, advanced MLOps, regulated AI) into industrialized AI products.

Your role within a pioneering company in full expansion:

• Design, develop, and optimize AI/ML models (including generative AI) responding to concrete business challenges (supervised, unsupervised, NLP, LLMs) with a strong business impact.
• Industrialize models through robust pipelines (MLOps), integrating versioning practices, CI/CD, monitoring, and retraining.
• Participate in the deployment of solutions in a production environment in the cloud (Azure, GCP, AWS).
• Participate in the deployment of generative AI solutions (RAG, internal assistants, business content generation) in a secure and governed environment.
• Document, explain, and ensure the compliance of models (traceability, auditability, GDPR, GxP).
• Contribute to technological foresight, sharing of best practices, and the structuring of the Group's AI platform.

You will work closely with data engineers, architects, and product owners to ensure the exploitability, quality, and business alignment of the solutions.

This position is compatible with remote work up to 2 days per week after the trial period.

We offer an attractive compensation/benefits package: Participation, Groupe Action Share Plan with aplomb, Health and welfare mutual, 16 additional public holidays in addition to CP, participation in collective transport, very attractive CE…

Who You Are?

Bac+5 to Bac+8: engineer, university, or PhD (AI, data science, applied mathematics).

5 to 10 years of experience in ML/AI with real production.

Solid background in MLOps or AI industrialization.

Complex or regulated data environment desired (health, pharma, finance).

Fluent English: Ability to collaborate in an international environment, document technical solutions, and interact with global teams (IT, Data, Business, Compliance).

Languages & AI Frameworks

Python (advanced): Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow

AI Generative Frameworks & Intelligent Agents :

LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen

Integration of LLMs (GPT, Claude, Mistral, LLaMA...) via API or fine-tuning

Design of agentic workflows and intelligent business copilots (Copilot Studio, OpenDevin, AutoGPT )

Use of RAG (Retrieval-Augmented Generation) to improve the relevance of responses.

MLOps & Industrialization

Training/scoring pipelines: MLflow, DVC, Airflow

Packaging and deployment: Docker, Kubernetes, GitLab CI/CD

Monitoring, drift detection, automatic retraining

Cloud & AI Platforms

Experience on one of the following clouds: Azure ML, GCP Vertex AI, AWS SageMaker

Integration into cloud-native data architectures (e.g., Data Lake, Feature Store, API Gateway)

A good part of the Git tools, GitLab CI, Jenkins, Ansible, Terraform, Docker, Kubernetes, ML Flow, Airflow or their equivalents in Cloud environments must be part of your daily routine.

NLP & Explainability

Classic and advanced NLP (transformers, spaCy, HuggingFace)

Explainability of models: SHAP, LIME, Fairness, auditability

Compliance with GDPR, GxP, AI Act

We are convinced that diversity is a source of fulfillment, social balance, and complementarity for our employees, which is why our offers are open to all, without restriction.