AI Engineer – Consultant·e confirmé·e / senior
Tasks
- Automate model lifecycle management
- Build generative AI applications
- Collaborate with business teams
- Collaborate with data engineers and data scientists
- Conduct technology research
- Deploy AI models
- Design RAG systems
- Design artificial intelligence solutions for business impact
- Develop LLM orchestration workflows
- Develop machine learning models
- Experiment with new AI approaches
- Industrialize ai models using mlops
- Monitor AI model performance
Perks/Benefits
- Internal coaching
- Mutual health coverage
- Performance bonus
- Phone stipend
- Restaurant vouchers
- Training budget
- Transportation reimbursement
- Vacation bonus
Skills/Tech-stack
Azure | Bash | Data Pipelines | Generative AI | Google Cloud | Infrastructure as Code | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Python | RAG | Terraform | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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