AI Engineer – Consultant·e confirmé·e / senior
Tasks
- Automate model lifecycle with MLOps
- Build generative AI applications
- Collaborate with business teams and data teams
- Convert prototypes into production solutions
- Deploy and monitor AI models
- Design AI solutions for high impact use cases
- Design RAG systems
- Develop train machine learning models
- Research and experiment new AI approaches
Perks/Benefits
- Health insurance
- Mentoring
- Phone allowance
- Restaurant vouchers
- Training budget
- Transport reimbursement
- Vacation bonus
Skills/Tech-stack
Anthropic | Azure | Bash | GCP | Gemini | Generative AI | Infrastructure as Code | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llama | MLOps | Machine Learning | Mistral | OpenAI | Python | RAG | Terraform | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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