Hybrid Cloud MLOps Engineer: Terraform & CI/CD

Robert Bosch Group; Sequeira; Presencial; EUR 60 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

On-site medical office

Training opportunities

Resumo da oferta

Robert Bosch Group seeks a skilled MLOps professional to shape and execute our MLOps strategy within a hybrid cloud setup. You will help design an end-to-end ML lifecycle, including data ingestion, feature engineering, model training, and deployment, ensuring governance and reliability.

Join a cross-functional team of ML engineers, data scientists, software engineers, and infrastructure specialists. Fluency in English and strong communication are required, with opportunities for career growth

Qualificações

• MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning or a related field.
• 2+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.
• Fluent in English, written and spoken.

Responsabilidades

• Contribute to the definition and evolution of the MLOps strategy for a hybrid cloud environment, aligning with business objectives and security standards.
• Design and implement Infrastructure as Code (IaC) using Terraform to provision cloud and on-premises resources.
• Develop and maintain monitoring dashboards and documentation for MLOps processes and infrastructure.
• Collaborate with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a scalable MLOps platform.

Conhecimentos

MLOps

Data Engineering

DevOps

Python

Bash

Azure Cloud

Terraform

GitHub Actions

Kubernetes

Linux

Formação académica

MSc/PhD in Software Engineering, Computer Science, Data Science, Machine Learning or related field

Ferramentas

Terraform

GitHub Actions

Kubernetes

Descrição da oferta de emprego

Robert Bosch Group seeks a skilled MLOps professional to shape and execute our MLOps strategy within a hybrid cloud setup. You will help design an end-to-end ML lifecycle, including data ingestion, feature engineering, model training, and deployment, ensuring governance and reliability.

Join a cross-functional team of ML engineers, data scientists, software engineers, and infrastructure specialists. Fluency in English and strong communication are required, with opportunities for career growth