MLOps Engineer: Build Scalable AI (Flexible Hours)

Robert Bosch Group; Braga; Presencial; EUR 55 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

flexible hours

medical services

employee discounts

sports and health activities

canteen

good access to public transports

space for creativity

Resumo da oferta

Robert Bosch Group is seeking a Machine Learning Operations Engineer to advance our MLOps strategy in a cloud-enabled environment. You will contribute to platform design, automation, security, and monitoring to support data science and ML workflows.

Ideal candidates have 3+ years in MLOps/DevOps with Python, Terraform, Kubernetes, and cloud experience (Azure). The role emphasizes collaboration across ML, software, and infrastructure teams in an Agile/SAFe setting.

Qualificações

• MSc or Ph.D. in Software Engineering, Computer Science, Data Science, Machine Learning, or a related field.

Responsabilidades

• Collaborate on the MLOps strategy for our cloud environment, ensuring alignment with business objectives, security requirements, and best practices.
• Collaborate on the technical design of a MLOps platform with self-service capabilities for data ingestion, feature engineering, model training, validation, deployment, and monitoring.
• Develop and maintain documentation for MLOps processes and infrastructure.
• Design and implement IaC solutions for provisioning cloud resources using Terraform.
• Implement robust security measures to protect sensitive data and models.
• Implement monitoring dashboards and alerts for the MLOps platform.
• Work with ML engineers, data scientists, software engineers and infra teams to deliver a high-quality solution.

Conhecimentos

MLOps

Python

DevOps

Terraform

GitHub Actions

Kubernetes

Azure

Bash

Linux

English fluency

Formação académica

MSc or PhD in Software Engineering/CS/Data Science/ML

Ferramentas

Terraform

GitHub Actions

Kubernetes

Ansible

Descrição da oferta de emprego

Robert Bosch Group is seeking a Machine Learning Operations Engineer to advance our MLOps strategy in a cloud-enabled environment. You will contribute to platform design, automation, security, and monitoring to support data science and ML workflows.

Ideal candidates have 3+ years in MLOps/DevOps with Python, Terraform, Kubernetes, and cloud experience (Azure). The role emphasizes collaboration across ML, software, and infrastructure teams in an Agile/SAFe setting.