# AI/ML Engineer at Air Apps

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, train, and optimise ML models po

- **Company:** Air Apps (https://jobs.trythestack.co/companies/air-apps)
- **Location:** Lisbon, PT, Portugal
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, TensorFlow, PyTorch, NLP, Computer Vision, Statistical Modeling, AWS, Google Cloud, Azure, ML Pipelines, Production Deployment, Data Analysis
- **Posted by employer:** 2026-11-02
- **Added to The Stack:** 2026-11-03
- **Listed until:** 2027-01-01
- **Status:** Active
- **Apply:** https://jobs.ashbyhq.com/airapps/cc91168e-1133-4d69-b7cb-93698570bbf0/application?utm_source=LinkedInPaid (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/aiml-engineer-air-apps

## 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.

## FAQ

- **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.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://jobs.ashbyhq.com/airapps/cc91168e-1133-4d69-b7cb-93698570bbf0/application?utm_source=LinkedInPaid). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "aiml-engineer-air-apps": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "AI/ML Engineer at Air Apps, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/aiml-engineer-air-apps)".
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