AI Engineer – Consultant·e confirmé·e / senior
Tasks
- Automate model lifecycle management
- Build generative AI applications
- Collaborate with business and data teams
- Conduct AI technology research and experiments
- Convert prototypes into production solutions
- Deploy and monitor ML models
- Design AI solutions for business use cases
- Design RAG systems
- Develop and train machine learning models
- Industrialize AI models with MLOps
Perks/Benefits
- Company results bonus
- Health insurance coverage
- Internal coaching
- Phone stipend
- Restaurant vouchers
- Training and development
- Transport reimbursement
- Vacation bonus
Skills/Tech-stack
Azure | Bash | Cloud platform | Data Pipelines | Data Science | Foundation Models | Generative AI | Google Cloud | Google Cloud Platform | Information Retrieval | LLMOps | Langchain | Langgraph | MLOps | Machine Learning | Model Monitoring | Python | RAG | Terraform
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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