Responsibilities
- Run ML/AI platforms end-to-end (training, inference, pipelines).
- Manage and scale tools such as SageMaker and MLflow.
- Set up training and inference environments.
- Provide observability, monitoring, and cost control for AI workloads.
Qualifications
- Experience with ML platforms and tooling such as SageMaker and MLflow.
- Experience with agentic frameworks or LLM tooling (e.g., LangChain, LangFuse).
- Understanding of data and ML workflows (not modelling).
- Nice to have: experience with data pipelines.
Benefits
- Opportunity to participate in a strategic aviation transformation initiative.
- Professional growth in an international, highly collaborative environment.
- Participation in building a team and shaping ways of working from day one.
- Access to training and development opportunities.
- Versátil remuneration: medical insurance, transport tickets, restaurant tickets and childcare vouchers.
- Access to gyms, sports centres and wellbeing activities at special rates.
- Inclusive company culture committed to diversity and equal opportunities.
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