AI/ML Engineer — Mobile AI Innovator (Lisbon)

Aimlroles

Lisboa

Híbrido

EUR 55 000 - 90 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Apple hardware ecosystem for work
Annual Bonus
Top-tier Health and Life Insurance
Transportation Budget
Coverflex benefits package
Childcare support
Air Conference
Pension Fund
Urban Sports Club
Meals 100% free at the hub

Resumo da oferta

Air Apps, based in Lisbon, is seeking an AI/ML Engineer to design, develop, and optimize ML models powering mobile apps. You will collaborate closely with product managers, engineers, and designers to deliver data-driven features with high performance.

We require 4+ years in AI/ML, Python/TensorFlow/PyTorch, and experience deploying models to production. This is a fully onsite role in Lisbon, with relocation support available to assist candidates.

Qualificações

  • Around 4+ years of experience in AI/ML development, preferably in mobile applications.
  • Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
  • Experience with deep learning, NLP, computer vision, and statistical modeling.
  • Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).
  • Strong understanding of data structures, algorithms, and software engineering best practices.
  • Experience in deploying and maintaining ML models in production.
  • Ability to work collaboratively in a remote team environment.

Responsabilidades

  • Develop, train, and optimize machine learning models for various mobile app features.

Conhecimentos

4+ years AI/ML experience
Problem solving
Remote collaboration

Ferramentas

Python
TensorFlow
PyTorch
AWS
Google Cloud
Azure

Descrição da oferta de emprego

Air Apps, based in Lisbon, is seeking an AI/ML Engineer to design, develop, and optimize ML models powering mobile apps. You will collaborate closely with product managers, engineers, and designers to deliver data-driven features with high performance.

We require 4+ years in AI/ML, Python/TensorFlow/PyTorch, and experience deploying models to production. This is a fully onsite role in Lisbon, with relocation support available to assist candidates.

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