AI Engineer – Consultant·e confirmé·e / senior
Tasks
- Automate model lifecycle management
- Build generative AI applications
- Collaborate with data engineers
- Collaborate with data scientists
- Conduct AI technology research
- Deploy and monitor models
- Design RAG systems
- Design artificial intelligence solutions
- Develop machine learning models
- Experiment with new AI approaches
- Implement MLOps workflows
- Industrialize AI models
- Orchestrate foundation models
- Transform prototypes into production solutions
Perks/Benefits
- Career development plan
- Certification budget
- Employee profit-sharing
- Health insurance coverage
- Internal coaching
- Phone allowance
- Restaurant vouchers
- Training day
- Transport reimbursement
- Vacation bonus
Skills/Tech-stack
Anthropic | Azure | Bash | Cloud platform | Data Pipelines | Foundation Models | Gemini | Generative AI | Google Cloud | Google Cloud Platform | LLMOps | Langchain | Langgraph | Llama | MLOps | Machine Learning | Mistral | Model Deployment | Monitoring | OpenAI | Python | RAG | Terraform
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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