5 months ago
Munich, GermanyMid Level
Responsibilities
- Develop, train, and optimize machine learning models for mobile application features.
- Research and implement state-of-the-art AI techniques to improve user engagement and application performance.
- Collaborate with product managers, engineers, and designers to integrate AI-driven solutions into applications.
- Design and maintain scalable ML pipelines, including efficient model deployment and monitoring.
- Analyze large datasets to derive insights and support data-driven decision-making.
- Keep current with AI trends and best practices and incorporate relevant advances into development processes.
- Optimize AI models for mobile environments to achieve high performance and low latency.
Requirements
- Around four or more 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 cloud-based ML services including AWS, Google Cloud, or Azure.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Experience deploying and maintaining machine learning models in production.
- Ability to collaborate effectively in a team environment.
- Strong problem-solving skills and passion for innovation.
Benefits
- Fully onsite at the Lisbon office with relocation support available
- Apple hardware ecosystem for work
- Annual bonus
- Health and life insurance
- Transportation budget
- Coverflex benefits package including meal allowances and well-being support
- Childcare support
- Air Conference for team collaboration and growth
- Pension fund
- Urban Sports Club membership
- Free meals 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.