Responsibilities
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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.
Flexible remuneration: medical insurance, transport tickets, restaurant tickets and childcare vouchers.
Access to gyms, sports centres and wellbeing activities at special rates. xpzdshu
Inclusive company culture committed to diversity and equal opportunities.
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