Robotics MLOps & Data Engineer - Deploy ML for Autonomy

Hexagon Robotics; Zürich; Hybrid; CHF 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Hybrid work model

CHF 500 mobility credit

Bonus system

Pension contributions

Relocation support

Training opportunities

Employee discounts

Zusammenfassung

Hexagon Robotics in Zürich is seeking a Robotics MLOps & Data Engineer to architect and implement production-grade MLOps and data infrastructure and core capabilities that enable R&D teams across Hexagon to develop and deploy cutting-edge machine learning solutions for robotics.

You will design scalable data pipelines to ingest, process and store both real-world and simulated robotics datasets, and develop scalable ML pipelines to train, evaluate and deploy models.

Qualifikationen

• MSc/PhD in Computer Science or equivalent with a focus on machine learning.
• Deep understanding of MLOps and data infrastructure concepts and tooling.
• Proven experience in implementing and operating production-grade MLOps and data infrastructure.
• Experience with cloud, hybrid and on-prem environments; Azure data services a plus.

Aufgaben

• Architect and implement production-grade MLOps and data infrastructure for R&D teams across Hexagon.
• Advance the strategy and standards for data ingestion, storage, management and sharing to enable high-value robotics datasets.
• Design and develop scalable data pipelines to ingest, process and store real-world and simulated robotics datasets.
• Design and develop scalable and reproducible ML pipelines to train, evaluate and deploy ML models for robotics.
• Create pipeline templates and enable adoption of MLOps tooling, including documentation and guidance.
• Establish and promote CI/CD best practices for data and ML pipelines, ensuring versioning and high-quality releases.
• Work with R&D teams to translate needs into effective infrastructure and tooling.

Kenntnisse

MLOps

Data infrastructure

Python

CI/CD

Autonomy

English communication

Ausbildung

MSc/PhD in Computer Science or equivalent

Tools

Azure Data Lake

Azure ML

Docker

Kubernetes

Terraform

ROS2

Omniverse

MLflow

PyTorch

TensorFlow

Jobbeschreibung

Hexagon Robotics in Zürich is seeking a Robotics MLOps & Data Engineer to architect and implement production-grade MLOps and data infrastructure and core capabilities that enable R&D teams across Hexagon to develop and deploy cutting-edge machine learning solutions for robotics.

You will design scalable data pipelines to ingest, process and store both real-world and simulated robotics datasets, and develop scalable ML pipelines to train, evaluate and deploy models.