AI/ML Engineer

Air Apps · Remote · Amsterdam ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€60k – €76k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully onsite (Lisbon)
  • 4+ years experience
  • Python + TensorFlow
  • Relocation support
  • Apple hardware provided

You will join the engineering team at Air Apps to develop intelligent, data-driven features that enhance user experience across their mobile products. Working closely with product managers and designers, you will build scalable ML pipelines and optimize models for high performance in mobile environments.

The company is self-funded with over 100 million downloads globally. This position requires presence in their Lisbon office, where you will collaborate in person with cross-functional teams.

What you'll do

  • Develop, train, and optimize machine learning models for mobile app features
  • Research and implement state-of-the-art AI techniques to boost engagement
  • Collaborate with cross-functional teams to integrate AI solutions
  • Design and maintain scalable ML pipelines for deployment and monitoring
  • Analyze large datasets to derive insights for decision-making
  • Optimize AI models for mobile environments to ensure low latency

What you'll need

  • Around 4+ years of experience in AI/ML development
  • Proficiency in Python, TensorFlow, PyTorch, or similar frameworks
  • Experience with deep learning, NLP, computer vision, and statistical modeling
  • Familiarity with cloud-based ML services like AWS, Google Cloud, or Azure
  • Strong understanding of data structures, algorithms, and software engineering
  • Experience deploying and maintaining ML models in production

Stack

  • Python
  • TensorFlow
  • PyTorch
  • AWS
  • Google Cloud
  • Azure

How you'll work

  • Fully onsite position based in Lisbon, Portugal
  • Relocation support is available
  • Collaboration with cross-functional teams in person

What you get

  • Apple hardware ecosystem for work
  • Annual bonus
  • Top-tier health and life insurance
  • Transportation budget for commute needs
  • Coverflex benefits package for meals and well-being
  • Childcare support
  • Pension fund contribution
  • Urban Sports Club membership
  • Free meals at the hub