AI/ML Engineer

Air Apps; Lisboa; Remote; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Apple hardware ecosystem for work.

Annual Bonus

Top-tier Health and Life Insurance for

Transportation Budget to support your

Coverflex benefits package for meal

Childcare support.

Air Conference - meet the team.

Pension Fund

Urban Sports Club membership

Meals 100% free at the hub.

Job summary

Air Apps in Lisbon, Portugal, is seeking an experienced AI/ML Engineer to design, train, and deploy ML models powering mobile AI features. You will collaborate with product, engineering, and design teams to deliver data-driven experiences in our AI-powered PRP platform.

We value hands-on experts with 4+ years in AI/ML, strong Python and ML framework skills, and a track record of production deployments. This is a remote role supporting a global team, with competitive benefits and growth

Qualifications

• 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.
• Strong problem‑solving skills and a passion for innovation.

Responsibilities

• Develop, train, and optimize machine learning models for various mobile app features.
• Research and implement state-of-the‑art AI techniques to improve user engagement and app performance.
• Collaborate with cross‑functional teams to integrate AI-driven solutions into our applications.
• Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.
• Analyze large datasets to derive insights and driver data‑driven decision‑making.
• Stay updated with the latest AI trends and best practices, incorporating them into our development processes.
• Optimize AI models for mobile environments to ensure high performance and low latency.

Skills

Python

TensorFlow

PyTorch

NLP

Computer vision

Cloud ML services

Data structures

Algorithms

Model deployment

Remote teamwork

Job description

About Air Apps

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way.

The Role

As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. Please note that this post serves the purpose of enhancing our talent pool while we prepare to launch the official job. As soon as it gets posted we will get in touch with you.

Responsibilities

• Develop, train, and optimize machine learning models for various mobile app features.
• Research and implement state-of-the‑art AI techniques to improve user engagement and app performance.
• Collaborate with cross‑functional teams to integrate AI-driven solutions into our applications.
• Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.
• Analyze large datasets to derive insights and driver data‑driven decision‑making.
• Stay updated with the latest AI trends and best practices, incorporating them into our development processes.
• Optimize AI models for mobile environments to ensure high performance and low latency.

Requirements

• 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.
• Strong problem‑solving skills and a passion for innovation.

What benefits do we offer?

• Apple hardware ecosystem for work.
• Annual Bonus
• Top‑tier Health and Life Insurance for peace of mind.
• Transportation Budget to support your commute needs.
• Coverflex benefits package for meal allowances, well‑being, and more.
• Childcare support.
• Air Conference - an opportunity to meet the team, collaborate, and grow together.
• Pension Fund to support your long‑term financial planning.
• Urban Sports Club membership to keep you active.
• Meals 100% free at the hub.

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.

Application Disclaimer

At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.