AI Engineering Manager (Full-Stack) - Milano
EUR 38K-48K (estimate) Mid-level Full Time
Tasks
- Build end to end solutions from data ingestion to UI
- Create technology roadmaps
- Define architecture standards and best practices
- Design data platform and data pipelines
- Develop frontend interfaces with React
- Develop generative AI solutions
- Develop interactive apps with Streamlit
- Implement CI/CD automation
- Implement MLOps practices
- Implement devops practices
- Lead AI transformation workshops
- Participate in pre-sales and proposals
- Supervise data engineering implementation on cloud
- Translate business needs into scalable architectures
- Validate LLM RAG and chatbot solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Framework | Agent Orchestration | Apache Spark | CI/CD | Cloud platform | Data Modeling | Data Quality | Data integration | Data pipeline | Databricks | DevOps | Distributed Systems | Docker | Generative AI | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Large Language Models | Low Code | MLOps | Microsoft Azure | Multi-Agent | Multi-agent orchestration | Palantir | Prompt engineering | PySpark | Python | React | Retrieval-Augmented Generation | SQL | Streamlit
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineer | Engineering Manager | Full Stack | Full Stack Engineer | Manager
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