Consultant·e AI Engineer – Confirmé·e / Senior
Tasks
- Automate model lifecycle management
- Build generative AI applications
- Collaborate with business data engineering and data science teams
- Deploy and monitor AI models
- Design AI solutions for high impact business use cases
- Design RAG systems
- Develop, train, and deploy machine learning models
- Experiment with new AI approaches and perform technology watch
- Industrialize models with MLOps and LLMOps
- Orchestrate generative AI workflows
Perks/Benefits
- Annual seminar
- Certification plan
- Health insurance coverage
- Internal coaching
- Meal vouchers
- Phone allowance
- Team events and activities
- Training and development
- Transportation reimbursement
Skills/Tech-stack
Anthropic | Azure | Bash | Cloud platform | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Google Gemini | LLMOps | Langchain | Langgraph | Llama | MLOps | Machine Learning | Mistral | Model Monitoring | OpenAI | Python | RAG | Terraform
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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