AI Engineer (All Experience Levels Welcome) - (Madrid | Hybrid)
Tasks
- Build LLM-based solutions
- Build MLops pipelines
- Build agentic AI systems
- Collect, clean, and transform datasets
- Conduct exploratory data analysis
- Create embeddings
- Create proofs of concept
- Create visualizations and analytical summaries
- Develop agent prototypes
- Develop machine learning models
- Document datasets and experiments
- Evaluate AI solutions
- Implement RAG workflows
- Integrate models into applications
- Monitor model quality
- Perform prompt engineering
- Translate business needs into AI tasks
Perks/Benefits
Skills/Tech-stack
Agentic AI | Copilot Studio | Data Analysis | Data Visualization | Databricks | Dataiku | Embeddings | Exploratory Data Analysis | Git | Jupyter Notebook | LLM | Langchain | Langgraph | MLOps | Machine Learning | Matplotlib | Microsoft Copilot | Microsoft Copilot Studio | Model Evaluation | Model Monitoring | NumPy | Pandas | Plotly | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | VS Code
Education
N/A
Roles
AI | AI Engineer | Engineer
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