Ingeniero de Inteligencia artificial (IA) y Machine Learning (ML)
Also searched as: AI engineer · ML engineer · Ingeniero de IA · Ingeniera de IA · Ingeniero de inteligencia artificial · Ingeniero de machine learning · Machine learning engineer · Ingeniero ML
Code 2149.18
This role has no official English translation yet; it is shown in Spanish.
What does a Ingeniero de Inteligencia artificial (IA) y Machine Learning (ML) do?
The AI / machine-learning engineer (ingeniero de IA, ML engineer or AI engineer) takes models into production: training, evaluation, deployment and monitoring. Chilean ads usually say ingeniero de IA or ML engineer; MAPHA uses the long title. Use this Job Dictionary profile to keep it distinct from the data scientist (who designs the model) and from DevOps (general infrastructure).
How critical is this role
Deep technical knowledge, hard to transfer.
Deep, low-transferability knowledge. Models keep running, but nobody can retrain them, audit them or explain why they fail.
A reference range based on our own search work in Chile, not a figure from a published study. It shifts with the salary offered, the location and any exclusivity requirement.
How we classify critical rolesWorking on a Ingeniero de Inteligencia artificial (IA) y Machine Learning (ML) role?
Use this profile as a starting point. Align responsibilities and assessment criteria with your team's actual needs.
The app link opens registration. You can create your role after signing in.
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
Download the role profile
We'll send you a profile ready to paste into your job ad: purpose, essential and optional skills, and what to assess. One email, no signup.
What to assess for this role
Assess models in production (not only notebooks), drift monitoring, judgment on when not to ship, and collaboration with data and platform.
See psychometric assessmentLo que más nos preguntan
Common questions about this role when you are hiring or writing the job profile.
- What does an AI / ML engineer do?
- Trains or takes models, packages them, deploys them and watches them in production: latency, cost, drift and rollback. It is not a loose research job.
- AI engineer vs data scientist or MLOps?
- The scientist designs and validates the model. The AI engineer makes it usable in the product. MLOps is the platform layer (CI/CD, serving); in small teams one person does both.
- When does headhunting make sense for this role?
- When production-model knowledge is hard to transfer, the active market does not yield (applied AI in a domain, not generic demos) or an internal replacement cannot retrain or explain why it fails.
Similar roles
Other roles in the same group, useful when the one you need is not an exact fit.
Need to find this profile?
We source, screen and assess candidates for this kind of role, with a replacement guarantee. Fast process and a flat fee per role, no percentage of the salary.
In Obrii App the profile becomes a job descriptor, a CV screener and an interview scorecard.
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