Air Apps

AI/ML engineer for personal resource planning

In short

AI/ML engineer role at Air Apps, a self-funded mobile app company based in Lisbon building an AI-powered Personal & Entrepreneurial Resource Planner. The job involves developing, training and optimizing ML models for mobile app features, building scalable ML pipelines, and deploying models to production, requiring 4+ years of AI/ML experience with Python, TensorFlow or PyTorch, deep learning, NLP and computer vision. The position is fully onsite in Lisbon, with relocation support offered, despite source listing it as remote.

About
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.
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 drive 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.
Conditions
This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.
•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.

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