MLOps Engineer: Build Scalable ML Platforms & Pipelines

Bosch; Braga; Híbrido; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible hours

Medical services

Employee discounts

Canteen

Public transport access

Space for creativity

Resumo da oferta

BOSCH in Portugal is seeking an experienced MLOps professional to shape and implement the next generation of cloud-based ML platforms. You will work with ML engineers, data scientists, software and infrastructure teams to deliver secure, scalable MLOps solutions across the lifecycle.

This role focuses on strategy, architecture, IaC with Terraform, and self-service tooling, ensuring reproducibility and robust monitoring.

Qualificações

• MSc or PhD in Software Engineering, CS, DS, ML, or related field.
• 3+ years in MLOps, Data Engineering, DevOps, or similar roles.
• Strong knowledge of ML development lifecycle and model life cycle.
• Experience designing, implementing CI/CD pipelines for ML/AI.

Responsabilidades

• Collaborate on the MLOps strategy for cloud environment.
• Design a self-service MLOps platform for data ingestion and model lifecycle.
• Develop and maintain documentation for MLOps processes and infra.
• Design IaC provisioning using Terraform.
• Implement security measures for data, models and artefacts.
• Create monitoring dashboards and proactive alerts.
• Work with ML engineers, data scientists and infra teams.
• Communicate with stakeholders at all levels.
• Stay current with MLOps trends and technologies.
• Participate in code reviews and establish best practices.

Conhecimentos

MLOps

DevOps

CI/CD

Python

Bash

English

Formação académica

MSc/PhD in CS/DS/ML

Ferramentas

Terraform

GitHub Actions

Kubernetes

Ansible

Azure

GNU/Linux

Descrição da oferta de emprego

BOSCH in Portugal is seeking an experienced MLOps professional to shape and implement the next generation of cloud-based ML platforms. You will work with ML engineers, data scientists, software and infrastructure teams to deliver secure, scalable MLOps solutions across the lifecycle.

This role focuses on strategy, architecture, IaC with Terraform, and self-service tooling, ensuring reproducibility and robust monitoring.