Senior ML Engineer: LLMs, Data Pipelines & Production

Viridien; Massy; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Hybrid working

Company pension

Unmind app

Flexible benefits platform

Gym membership discounts

Holiday buy/sell

Private medical & dental care

Résumé du poste

Viridien in Massy, France is seeking a Senior Machine Learning Engineer who bridges data engineering with production-grade AI systems. You will deploy and fine-tune LLMs, build robust data pipelines, and orchestrate multi-model workflows to deliver reliable, scalable solutions.

You will lead with strong coding skills (Python/C++/R/Java), work across teams, and mentor juniors while advancing AI capabilities for real-world resources, energy, and infrastructure challenges.

Qualifications

• Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or related technical disciplines.
• Strong programming skills in one or more of C/C++/R/Java/Python.
• Advanced understanding of LLM/VLM architectures, post-training methods (fine-tuning, RL), and evaluation pipelines.
• Experience in data and system engineering for large-scale model workflows.
• Proven experience with deep learning frameworks (TensorFlow/PyTorch).
• Fluent with tools such as Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex.

Responsabilités

• LLM/NLP model development: deploy and fine tune LLMs for domain-specific tasks.
• Data infrastructure: build data pipelines for ingestion, transformation, versioning and labelling.
• AI workflow design & orchestration: orchestrate multi-model agentic workflows; integrate into production systems.
• Leadership: provide technical leadership and mentorship to junior engineers.

Connaissances

Programming languages: Python

C/C++

RL

Data engineering

Leadership

Formation

Master’s or PhD in CS/Math/Physics/EE

Outils

Cursor

Windsurf

Trae

Gemini CLI

Claude Code

Codex

Description du poste

Viridien in Massy, France is seeking a Senior Machine Learning Engineer who bridges data engineering with production-grade AI systems. You will deploy and fine-tune LLMs, build robust data pipelines, and orchestrate multi-model workflows to deliver reliable, scalable solutions.

You will lead with strong coding skills (Python/C++/R/Java), work across teams, and mentor juniors while advancing AI capabilities for real-world resources, energy, and infrastructure challenges.