MLOps Engineer (f/m/div.)

Robert Bosch Group; Braga; Presencial; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible hours

Medical services

Employee discounts

Sports & health activities

Canteen

Public transport access

Creativity space

Resumo da oferta

Bosch Service Solutions S.A. is seeking a skilled MLOps professional to shape strategy and architecture for cloud-based ML workflows in Portugal. You will collaborate with ML engineers, data scientists, and infra teams to build a robust, scalable MLOps platform.

The role emphasizes data ingestion, feature engineering, model training, validation, deployment, monitoring, and ensuring secure, reproducible workflows within a modern cloud environment.

Qualificações

• MSc or PhD in Software Engineering, Computer Science, Data Science, ML, or related field.
• 3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.
• Strong understanding of ML lifecycle and DevOps practices.
• Experience designing and maintaining CI/CD pipelines for ML workloads.
• Proficient in Python and Bash scripting.
• Experience with Azure services and Entra ID.
• Knowledge of Terraform, GitHub Actions, and Kubernetes.
• Basic understanding of Ansible and GNU/Linux systems.

Responsabilidades

• Collaborate on the MLOps strategy for our cloud environment.
• Design a self-service MLOps platform for data ingestion, feature engineering, model training, validation, deployment, and monitoring.
• Develop documentation for MLOps processes and infrastructure.
• Implement Terraform IaC for cloud resources and security measures.
• Maintain reproducibility and monitor platform health with dashboards and alerts.
• Work with ML engineers, data scientists, and infra teams to deliver a robust solution.
• Engage stakeholders and stay updated on MLOps trends and best practices.

Conhecimentos

ML lifecycle

DevOps

CI/CD pipelines

Python

Bash

Azure

Terraform

GitHub Actions

Kubernetes

Ansible

Linux

Formação académica

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

Ferramentas

Terraform

GitHub Actions

Kubernetes

Ansible

Descrição da oferta de emprego

• Legal Entity: Bosch Service Solutions S.A.

Company Description

Welcome to Bosch

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization.

Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers.

Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life‑saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide.

Job Description

MLOps Strategy & Architecture:

• 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 that provides a self‑service approach to the MLOps loop problems, such as data ingestion, feature engineering, model training, model validation, model deployment, model monitoring.
• Develop and maintain comprehensive documentation for MLOps processes and infrastructure.
• Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform.
• Implement robust security measures to protect sensitive data, ML models, and other artefacts.
• Implement new functionalities while ensuring key non‑functional properties of the model development toolchain, particularly reproducibility.
• Implement monitoring dashboards and alerts to proactively identify and resolve MLOps platform issues.
• Work closely with ML engineers, data scientists, software engineers, and infrastructure teams to deliver a high‑quality MLOps solution.
• Communicate effectively with stakeholders at all levels, including technical and non‑technical audiences.
• Stay up to date with the latest MLOps trends and technologies and adopt new approaches.
• Participate in code reviews and contribute to the development of best practices

Qualifications

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

Experience:

• 3+ years of experience in MLOps, Data Engineering, DevOps, or similar roles.

Technical Skills:

• Good understanding of the ML development process and model life cycle.
• Good understanding of DevOps principles and practices.
• Experience designing, implementing, integrating, and maintaining MLOps solutions or CI/CD pipelines.
• Good scripting and automation skills with Python and Bash.
• Experience with Azure services, and Microsoft Entra ID.
• Good understanding of Terraform, GitHub Actions, and Kubernetes.
• Basic understanding of Ansible.
• Experience with GNU/Linux systems as key development environment.

Soft Skills:

• Excellent problem-solving skills.
• Effective communication skills, team player, and capable of collaborating across functional areas.
• Proactive, customer and result‑oriented personality.
• Experience working in Agile/SAFe environments.
• Fluent in English, written and spoken.

Additional Information

What we offer you:

Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.

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