Air Apps

AI/ML Engineer

Air Apps
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7 months ago
Lisbon, PortugalMid 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 ML 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.
  • Optimize AI models for mobile environments to achieve high performance and low latency.

Requirements

  • Around 4+ years of experience in AI/ML development, preferably for 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 in a remote team environment.
  • Strong problem-solving skills and a passion for innovation.

Benefits

  • Apple hardware ecosystem for work.
  • Annual bonus.
  • Top-tier health and life insurance.
  • Transportation budget.
  • Coverflex benefits package for meal allowances and well-being.
  • Childcare support.
  • Air Conference for team collaboration and growth.
  • Pension fund.
  • Urban Sports Club membership.
  • Meals are 100% free at the hub.

Tech Stack

AWSAzureGoogle CloudPythonPyTorchTensorFlow

Categories

Air Apps

About Air Apps

51-200 employees

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.

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