Related skills
python pytorch mlops llms rag📋 Description
- Deliver critical code as an IC; hands-on, de-risk complex projects.
- Lead technical teams of Applied AI Engineers.
- Lead pre-sales discussions; translate customer needs into solutions.
- Design AI systems: fine-tuning, RAG, agentic workflows, LLM apps.
- Drive AI innovation by identifying trends and best practices.
- Collaborate with product managers, researchers, and engineers.
🎯 Requirements
- Fluent in French and English.
- PhD or Master’s in AI, ML, CS, or related field.
- 7–8+ years in AI/ML; 2+ years in tech leadership.
- Proven record leading teams delivering complex AI projects.
- Deep expertise: fine-tuning LLMs, RAG, agentic systems, NLP.
- Proficient in Python, PyTorch; LangChain/HuggingFace; AWS/GCP/Azure.
🎁 Benefits
- Shape the future of AI for enterprises.
- Work with a world-class, distributed team.
- Contribute to open-source projects used by millions.
- Fast-paced, transparent culture with mentorship.
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