ingeniero de Inteligencia artificial (IA) y Machine Learning (ML)
Code 2149.18
This role has no official English translation yet; it is shown in Spanish.
El ingeniero/la ingeniera de IA/ML es un profesional capacitado para aplicar técnicas de aprendizaje automático y procesamiento de datos con el objetivo de desarrollar sistemas y modelos inteligentes que puedan aprender y tomar decisiones de manera autónoma. Puede colaborar con otros profesionales en el ámbito de la tecnología y la ciencia de datos. Su principal objetivo es la recolección y análisis de datos, el procesamiento de datos, el desarrollo de modelos de ML, la capacitación y evaluación de estos modelos, su implementación y despliegue, y finalmente, el mantenimiento y la mejora continua de los modelos desarrollados.
Essential skills
Knowledge
- AI
- AI
- Big Data In the cloud
- Database management
- Machine Learning
- Non-relational Databases
- Relational Databases
- task algorithmisation
- algorithms
- deep learning
- communication
- unstructured data
- business process modelling
- business intelligence
- predictive maintenance
- data models
- principles of artificial intelligence
- natural language processing
- computer programming
- artificial neural networks
- visual presentation techniques
Skills and competences
- apply information security policies
- build recommender systems
- consult information sources
- create data models
- create solutions to problems
- define technical requirements
- perform data mining
- manage database
- manage ICT data classification
- interpret technical requirements
- normalise data
- perform data analysis
- collect ICT data
- utilise machine learning
- use spreadsheets software
Transversal competences
- apply statistical analysis techniques
- build predictive models
- meet deadlines
- manage schedule of tasks
- think analytically
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What to assess for this role
Technical knowledge can be verified with tests and references. What never shows up on a CV are the transversal competences, and they explain most failed hires. Before closing, it pays to measure them with a standardised battery.
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Sources
This service uses the ESCO classification of the European Commission and the Mapha Taxonomy developed by OTIC SOFOFA (CC BY 4.0), in an adapted version. Group codes come from the ILO's ISCO-08. See sources and licences