Consultant·e AI Engineer - Senior / Confirmé·e
Tasks
- Automate ML model lifecycle with MLOps
- Build RAG systems for knowledge retrieval
- Collaborate with business data and data science teams
- Deploy and monitor ML models
- Design AI solutions for business use cases
- Develop machine learning and generative AI models
- Experiment with new AI approaches
- Train machine learning models
Perks/Benefits
- Healthcare insurance coverage
- Internal coach
- Phone allowance
- Restaurant tickets
- Training and certifications
- Transport reimbursement
- Vacation bonus
Skills/Tech-stack
Anthropic | Azure | Bash | Cloud platform | Gemini | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | LLMOps | Langchain | Langgraph | Llama | MLOps | Machine Learning | Mistral | Monitoring | OpenAI | Python | Retrieval-Augmented Generation | Terraform | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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