AI Engineer – Consultant·e confirmé·e / senior
Tasks
- Automate model lifecycle workflows
- Collaborate with business teams and data teams
- Design AI solutions for business use cases
- Design RAG systems for internal data
- Develop machine learning and generative AI models
- Industrialize AI models with MLOps
- Monitor model performance
- Research new AI approaches
- Train and deploy generative AI applications
- Transform prototypes into production solutions
Perks/Benefits
- Annual seminar
- Incentive bonus
- Internal coaching
- Mobility transport reimbursement
- Monthly events
- Mutual insurance coverage
- Paris office access
- Phone allowance
- Restaurant vouchers
- Training days
- Vacation bonus
Skills/Tech-stack
Azure | Bash | Data Pipelines | Foundation Models | GCP | Generative AI | Infrastructure as Code | LLMOps | Langchain | Langgraph | MLOps | Machine Learning | Model Monitoring | Python | RAG | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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