5 months ago
Amsterdam, NetherlandsMid Level
Responsibilities
- Develop, train, and optimize machine learning models for mobile app features.
- Research and implement state-of-the-art AI techniques to improve user engagement and app performance.
- Collaborate with product managers, engineers, and designers to integrate AI-driven solutions into applications.
- Design and maintain scalable machine learning pipelines for efficient model deployment and monitoring.
- Analyze large datasets to derive insights and support data-driven decision-making.
- Stay current with AI trends and best practices and incorporate them into development processes.
- Optimize AI models for mobile environments to achieve high performance and low latency.
Requirements
- Around 4+ years of AI/ML development experience, preferably with mobile applications.
- Proficiency in Python, TensorFlow, PyTorch, or other machine learning frameworks.
- Experience with deep learning, natural language processing, computer vision, and statistical modeling.
- Familiarity with AWS, Google Cloud, or Azure cloud-based machine learning services.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Experience deploying and maintaining machine learning models in production.
- Ability to collaborate with cross-functional teams and work in a remote team environment.
- Strong problem-solving skills and passion for innovation.
Benefits
- Fully onsite in Lisbon with relocation support available.
- Apple hardware ecosystem for work.
- Annual bonus, health and life insurance, transportation budget, Coverflex benefits package, childcare support, pension fund, and Urban Sports Club membership.
- Air Conference for team collaboration and professional growth.
- Meals are 100% free at the hub.
Categories
About Air Apps
Air Apps develops and publishes consumer mobile apps for iOS and Android across productivity, utilities, fitness, creativity, and learning. Founded in 2018 in Lisbon and now operating from Lisbon and San Francisco, the privately held company is self-funded and reports over 100 million worldwide downloads across 30+ titles. Current work includes an AI-powered Personal & Entrepreneurial Resource Planner.