Robotics MLOps & Data Platform Engineer

Hexagon Robotics; Zürich; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Mobility credit

Relocation support

Pension contributions

Training opportunities

Team events

Zusammenfassung

Hexagon Robotics in Zürich, Switzerland, is seeking a Robotics MLOps & Data Engineer to architect and implement production-grade MLOps and data infrastructure for our humanoid robotics program. You will design scalable pipelines for training, evaluation and deployment of ML models across R&D teams and ensure robust tooling and governance.

Responsibilities include creating templates, driving CI/CD for data and ML pipelines, collaborating with robotics teams, and promoting best practices for

Qualifikationen

• MSc/PhD in CS with focus on machine learning.
• Strong MLOps and data infrastructure knowledge.
• Proven production-grade MLOps experience.
• Experience with CI/CD, IaC, and containerization.
• English proficiency; German helpful.

Aufgaben

• Architect and implement production‑grade MLOps/data infrastructure enabling R&D to deploy ML solutions for robotics.
• Advance data ingestion, storage and sharing for high‑value robotics datasets.
• Design scalable pipelines to ingest, process and store real-world and simulated datasets.
• Create scalable ML pipelines to train, evaluate and deploy models for robotics.
• Write templates, document tooling, and mentor R&D teams on MLOps capabilities.
• Promote CI/CD best practices for data/ML pipelines with versioning and testability.
• Collaborate with robotics teams to translate requirements into robust infrastructure.

Kenntnisse

MLOps

Data infrastructure

Python

CI/CD

Terraform

Docker

Kubernetes

Azure Data Lake

Azure ML

MLflow

PyTorch

TensorFlow

JAX

ROS2

Omniverse

English

Agile mindset

Ausbildung

MSc/PhD in Computer Science or equivalent

Tools

Azure Data Lake

Azure ML

MLflow

Terraform

Docker

Kubernetes

ROS2

Omniverse

PyTorch

TensorFlow

Jobbeschreibung

Hexagon Robotics in Zürich, Switzerland, is seeking a Robotics MLOps & Data Engineer to architect and implement production-grade MLOps and data infrastructure for our humanoid robotics program. You will design scalable pipelines for training, evaluation and deployment of ML models across R&D teams and ensure robust tooling and governance.

Responsibilities include creating templates, driving CI/CD for data and ML pipelines, collaborating with robotics teams, and promoting best practices for