Consultant·e AI Engineer – Senior / Confirmé·e
Tasks
- Automate model lifecycle management
- Collaborate with business teams
- Collaborate with data engineers and data scientists
- Deploy and monitor ML models
- Design AI solutions for business use cases
- Design RAG architectures
- Develop generative AI applications
- Develop machine learning models
- Experiment with new AI approaches
- Industrialize AI models with MLOps
- Perform technology watch
Perks/Benefits
- Annual seminar
- Career development
- Health insurance coverage
- Holiday bonus
- Interest bonus
- Internal coaching
- Meal vouchers
- Mobile phone allowance
- Team events
- Training
- Transport reimbursement
Skills/Tech-stack
Azure | Bash | Cloud platform | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | LLMOps | Langchain | Langgraph | 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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