Applied ML Engineer for Auto Ops & Scheduling

aspaara AG; Zürich; Vor Ort; Vertraulich; Vollzeit

Benefits dieser Stelle

Creative freedom

Direct impact

Modern tech stack

Experimentation culture

End-to-end ownership

Zusammenfassung

aspaara AG in Zürich is building an AI-driven platform to transform automotive aftersales operations. We are hiring a Machine Learning Engineer to design and deploy models, optimize scheduling and resource use, and push end-to-end ML capabilities in production.

You will work with real-world data, own the ML lifecycle, and translate business problems into measurable outcomes. Join a fast-growing B2B SaaS company shaping the future of workshops across Europe.

Qualifikationen

• Master’s or PhD in Computer Science, Mathematics, Physics or a related field.

Aufgaben

• Design and deploy machine learning models for prediction and decision-making on domain-specific operational data.

Kenntnisse

Machine learning

PyTorch

Python

Time series

Tabular data

Pandas

scikit-learn

MLflow

Docker

Kubernetes

OR-Tools

CP-SAT

Gurobi

English

Ausbildung

Master's or PhD in CS/Math/Physics

Tools

Docker

Kubernetes

MLflow

OR-Tools

Gurobi

Jobbeschreibung

aspaara AG in Zürich is building an AI-driven platform to transform automotive aftersales operations. We are hiring a Machine Learning Engineer to design and deploy models, optimize scheduling and resource use, and push end-to-end ML capabilities in production.

You will work with real-world data, own the ML lifecycle, and translate business problems into measurable outcomes. Join a fast-growing B2B SaaS company shaping the future of workshops across Europe.