AI Engineer – Consultant·e confirmé·e / senior
Tasks
- Automate model lifecycle
- Build RAG systems
- Collaborate with business teams and data teams
- Deploy machine learning models
- Design artificial intelligence solutions
- Develop generative AI applications
- Develop machine learning models
- Experiment with new AI approaches
- Manage MLOps workflows
- Monitor model performance
Perks/Benefits
- Career development
- Certification budget
- Coach support
- Holiday bonus
- Meal tickets
- Mutual health coverage
- Phone allowance
- Training onboarding
- Transport reimbursement
Skills/Tech-stack
Azure | Bash | Cloud platform | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Monitoring | Python | RAG | Terraform | “as-code”
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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