AI/ML Engineer at Air Apps
At a glance
- Company
- Air Apps
- Location
- Lisbon, PT, Portugal
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Air Apps job
- 🏢 Air Apps has 71 jobs here, 71 with visa sponsorship see all
- 📊 2 Machine Learning Engineer jobs in Portugal in the last 60 days see them
- 🛂 Visa: EU Blue Card. Salary: At least 1.5 times the national average annual salary (1.2 times in some cases) guide
- 💡 No salary shown. Ask Air Apps if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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About the role
Responsibilities:
- Design, train, and optimise ML models powering mobile app features (NLP, CV and behavioural models).
- Research and apply state-of-the-art AI techniques to improve engagement and app performance.
- Build and maintain scalable ML pipelines for training, deployment, monitoring, and rollback.
- Integrate models into mobile products working closely with product managers, engineers, and designers.
- Analyse large datasets to extract insights, validate experiments, and improve model quality.
- Optimise models for mobile constraints (latency, memory, on-device inference) and monitor production health.
Requirements:
- ~4+ years of experience in AI/ML engineering; mobile-app experience is strongly preferred.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch) and experience with model training and tuning.
- Experience across deep learning areas: NLP, computer vision, and statistical modelling.
- Familiarity with cloud ML services (AWS, GCP, Azure), production deployment, CI/CD and monitoring.
- Strong software engineering fundamentals, data handling skills, and ability to work in a remote, cross-functional team.
- Good problem-solving skills and a demonstrated drive to iterate quickly and ship product-focused ML solutions.
Responsibilities
Design, develop, and optimize ML models for mobile app features; deploy and monitor models in production; collaborate with cross-functional teams to integrate AI-driven solutions.
Requirements
Around 4+ years in AI/ML for mobile applications; proficient in Python and ML frameworks (TensorFlow, PyTorch); experience with deep learning, NLP, computer vision, and cloud ML services; strong software engineering practices and ability to work in a remote team.
Key skills
- Python — in 1173 other listings on The Stack
- TensorFlow — in 55 other listings on The Stack
- PyTorch — in 90 other listings on The Stack
- NLP — in 25 other listings on The Stack
- Computer Vision — in 30 other listings on The Stack
- Statistical Modeling — in 10 other listings on The Stack
- AWS — in 788 other listings on The Stack
- Google Cloud — in 4 other listings on The Stack
- Azure
- ML Pipelines
- Production Deployment
- Data Analysis
On The Stack (as of 2026-11-03)
Frequently asked questions about Air Apps
Is this AI/ML Engineer role still open?
It was posted on 2026-11-02 and is listed as active on The Stack. Confirm on Air Apps's application page before applying.
Does Air Apps offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Air Apps's site.
Where is this role located?
The listing gives the location as Lisbon, PT, Portugal. It is marked on-site.
What skills does this role ask for?
The listing names: Python, TensorFlow, PyTorch, NLP, Computer Vision, Statistical Modeling, AWS, Google Cloud, Azure, ML Pipelines, Production Deployment, Data Analysis.