Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Bash
Python
Azure
Kubernetes
Terraform
Where the posting names them
- 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 scripting and automation skills with Python and Bash.
- Experience with Azure services, and Microsoft Entra ID.
- Good understanding of Terraform, GitHub Actions, and Kubernetes.
- Experience with Azure services, and Microsoft Entra ID.
- Good understanding of Terraform, GitHub Actions, and Kubernetes.
- Basic understanding of Ansible.
Hybrid ML-loop Implementation:
- 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.
Yes. We’ve followed one other MLOps Engineer (f/m/div.) job there since May 2026. It came down after 154 days.
BragaCame down after 154 days, first seen May 28
This jobUp 25 days so far, first seen Oct 15
May 28Today
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
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.
Hybrid ML-loop Implementation:
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.
• Collaboration & Leadership:
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.
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay
No pay amount identified in the saved description.
Location & working pattern
Braga, Portugal
- Develop and maintain comprehensive documentation for MLOps processes and infrastructure.
Hybrid ML-loop Implementation:
- Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud resources using Terraform.
Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.