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Ingénieur Applications AI - Python / Java (H/F)
REYNOLDS AND REYNOLDS • 38 - GRENOBLE
~ €37,200 - €56,200
AI / ML Engineer Jobs in Grenoble
Research, microelectronics, industry, healthcare, and services
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Ingénieur tests automatisés (H/F)
Groupe SII • Grenoble, Auvergne-Rhone-Alpes, France
onsite
€35,000 - €50,000
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Data Engineer / Expert Data Intégration - H/F (H/F)
HARDIS TECH SERVICES • 38 - GRENOBLE
onsite
~ €42,000 - €60,000
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Ingénieur Automaticien H/F (H/F)
INGELIANCE TECHNOLOGIES • 38 - Grenoble
onsite
~ €25,000 - €42,250
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Ingénieur systèmes embarqués (H/F)
SERMA INGENIERIE • 38 - GRENOBLE
onsite
~ €25,000 - €42,250
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Développeur Java (F/H)
Groupe SII • Grenoble, Auvergne-Rhone-Alpes, France
onsite
€35,000 - €41,000
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Explore employers on the map — Grenoble
What Does a AI / ML Engineer Do?
AI/ML engineers develop machine learning models and AI systems that learn from data to make predictions or decisions. They work on model architecture, training, optimization, and deployment to production systems.
AI / ML Engineer Salary in Grenoble
The median salary for a AI / ML Engineer in Grenoble is €40,000 per year. The range is €35K - €55K. (offers-geo 2025) Typical US salary range: $110K - $180K. In Europe: €75K - €120K. Cost of living in Grenoble is moderate compared to other cities.
Most In-Demand Skills
Python
TensorFlow/PyTorch
Machine Learning Theory
NLP/Computer Vision
Model Optimization
LLM Fine-tuning
The Grenoble Job Market
Research, microelectronics, industry, healthcare, and services. Research and industry lead a market also strong in healthcare and services.
Top industries: Research & Microelectronics, Industry, Healthcare, Services.
SNCF rail connects region; research culture supports remote work for specialized talent.
Career Path & 2026 Trends
AI/ML engineers advance to senior ML engineer, research engineer, or ML platform architect; many pursue specialization in specific domains like NLP or computer vision. AI/ML engineering in 2026 is dominated by generative AI, with massive demand for engineers who can fine-tune and deploy LLMs in production environments.
Interview Tip
Walk through your model development lifecycle—discuss data preparation, model selection, hyperparameter tuning, and evaluation metrics that matter for the business.
How to Find a AI / ML Engineer Job in Grenoble?
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