ML/LLM AI Engineer — End-to-End Pipelines & Deployment

OUTSCALE; Saint-Cloud; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Dassault Systèmes is seeking a skilled Data Scientist to advance AI solutions across NLP, Computer Vision, and LLM domains. You will contribute to research-to-production pipelines, working with unstructured data and scalable Python code.

Responsibilities include benchmarking, algorithm design, and deploying AI services via containerized cloud environments. Fluency in French and English is expected for daily communication within the team.

Qualifications

• Proficient in Python with hands-on DL/LLM frameworks (PyTorch, TensorFlow, Hugging Face).
• Strong understanding of neural networks, ML techniques and data processing methods.
• Ability to develop production-grade code and deploy AI solutions.

Responsabilités

• Analyze complex business and technical problems and propose AI solutions.
• Lead benchmarking and evaluation studies for models and approaches.
• Design, implement, and evaluate ML/DL algorithms.
• Process large unstructured data (text and images).
• Develop production-grade Python code and APIs for AI services.

Connaissances

Python programming

Deep Learning

ML fundamentals

NLP

Computer Vision

LLMs

Outils

Docker

Kubernetes

PyTorch

TensorFlow

Hugging Face

CUDA

ONNX

MLflow

Weights & Biases

Description du poste

Dassault Systèmes is seeking a skilled Data Scientist to advance AI solutions across NLP, Computer Vision, and LLM domains. You will contribute to research-to-production pipelines, working with unstructured data and scalable Python code.

Responsibilities include benchmarking, algorithm design, and deploying AI services via containerized cloud environments. Fluency in French and English is expected for daily communication within the team.