Mobile AI/ML Engineer — Build AI-Driven Features

Air Apps; Roma; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Apple hardware ecosystem

Annual bonus

Top-tier health & life insurance

Transportation budget

Coverflex benefits

Childcare support

Air Conference

Pension fund

Urban Sports Club

Meals 100% free

Job summary

Air Apps is seeking an AI/ML Engineer to design, develop, and optimize ML models powering our mobile applications. You will collaborate with product managers, engineers, and designers to deliver intelligent features and data-driven improvements.

A strong focus on production-ready ML pipelines and low-latency models for mobile environments is essential. The role is fully onsite at our Lisbon office with relocation support available.

Qualifications

• 4+ years of AI/ML development experience, preferably in mobile apps.
• Proficiency in Python, TensorFlow, PyTorch; strong background in NLP, computer vision, and statistical modelling.
• Experience with cloud-based ML services (AWS, Google Cloud, or Azure) and software engineering best practices.
• Experience deploying ML models to production and maintaining ML pipelines.

Responsibilities

• Develop, train, and optimize ML models for mobile app features.
• Research and implement state-of-the-art AI techniques to boost user engagement and app performance.
• Collaborate with product managers, engineers, and designers to integrate AI-driven features.
• Design scalable ML pipelines and ensure efficient deployment and monitoring.
• Analyze large datasets to derive actionable insights and inform decisions.
• Stay updated with latest AI trends and apply best practices in development.

Skills

Python

TensorFlow

PyTorch

NLP

Computer vision

Cloud ML services

Data structures & algorithms

Production deployment

Team collaboration

Tools

AWS

Google Cloud

Azure

Job description

Air Apps is seeking an AI/ML Engineer to design, develop, and optimize ML models powering our mobile applications. You will collaborate with product managers, engineers, and designers to deliver intelligent features and data-driven improvements.

A strong focus on production-ready ML pipelines and low-latency models for mobile environments is essential. The role is fully onsite at our Lisbon office with relocation support available.