Основы
AI Engineer
Опубликовано: 22.05.2026
Дата закрытия: 06.07.2026
Рекомендация по вакансии: f3f56fa2373720ddad1f55ac0c7aab65
Информация о вакансии
Расположение
Lisboa, Lisbon Metropolitan Area, Portugal
Компания
Jobio
Клиент / Работодатель
Luza Group
Рекомендация по вакансии
f3f56fa2373720ddad1f55ac0c7aab65
Тип листинга
Основы
Требуется разрешение на работу в ЕС
Нет
Опубликовано
22.05.2026
Дата закрытия
06.07.2026
Описание должности
Our client, a software company, is looking for a AI Engineer. Join a lean, fast growing and dynamic team. Responsibilities: · Design, develop and implement Artificial Intelligence and Machine Learning solutions; · Develop data models and algorithms to support advanced analytics and automation projects; · Work with large datasets, data pipelines and data processing systems; · Collaborate with software development, data and product teams to integrate AI solutions into existing platforms; · Develop predictive models, data analysis tools and automation processes; · Support the creation and maintenance of data infrastructure and data architecture for analytics and AI projects; · Optimize and monitor the performance of machine learning models; · Document technical solutions and processes; · Stay up to date with new technologies, tools and methodologies in AI, Machine Learning and Data Engineering; · Work with national and international clients and internal teams. Requirements · Degree in Computer Engineering, Computer Science, Data Science, Artificial Intelligence or similar; · Experience with Python, R or similar programming languages; · Knowledge of Machine Learning frameworks (TensorFlow, Scikit-learn, PyTorch or similar); · Experience working with data analysis, data processing and databases (SQL, NoSQL); · Knowledge of cloud platforms (AWS, Azure or Google Cloud) is a plus; · Experience with data engineering, data pipelines or big data tools is a plus; · Strong analytical and problem-solving skills; · Ability to work in a fast-paced environment; · Good communication and teamwork skills; · Fluent in English.
Навыки
Agile Project Management
Algorithms
analyse big data
analyse business requirements
apply ICT systems theory
apply systemic design thinking
Artificial Neural Networks
Assembly (computer programming)
assess ICT knowledge
build business relationships
build predictive models
build recommender systems
Business Analytics
Business Intelligence
business process modelling
C
COBOL
CoffeeScript
Common Lisp
computer programming
Computer Simulation
Computer Vision
create data sets
creatively use digital technologies
Data Mining
Data Models
Data Science
database development tools
Deep Learning
define technical requirements
deliver visual presentation of data
design application interfaces
design database scheme
design process
develop creative ideas
develop statistical software
digital data processing
Erlang
Groovy
Haskell
ICT project management methodologies
identify processes for re-engineering
Information Architecture
information categorisation
Information Extraction
information structure
Java (computer programming)
JavaScript
lean project management
LINQ
Lisp
manage business knowledge
manage ICT data classification
manage ICT semantic integration
Matlab
Microsoft Visual C++
ML (computer programming)
N1QL
Objective-C
OpenEdge Advanced Business Language
operational research
Pascal (computer programming)
perform dimensionality reduction
Perl
PHP
principles of artificial intelligence
Process-based management
Prolog (computer programming)
Python (computer programming)
R
resource description framework query language
Ruby (computer programming)
SAP R3
SAS language
Scala
Scratch (computer programming)
Smalltalk (computer programming)
SPARQL
Swift (computer programming)
systems development life-cycle
task algorithmisation
TypeScript
Unstructured Data
use data processing techniques
utilise machine learning
VBScript
Visual Basic
visual presentation techniques