Back to jobs

(Senior) ML Ops Engineer

Lousado, Braga, Portugal

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Continental

What you’ll work on

Full posting
  • You will design, deploy, and maintain robust ML pipelines, ensuring seamless integration of models into production environments and optimizing their performance at scale.

  • Design and manage CI/CD pipelines for ML models from development to production;

  • Build and maintain scalable ML infrastructure on cloud platforms using infrastructure-as-code;

From the employer’s posting
In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a MLOps Engineer, you will be at the forefront of transforming machine learning into scalable, production-ready solutions. You will design, deploy, and maintain robust ML pipelines, ensuring seamless integration of models into production environments and optimizing their performance at scale. Working closely with Data Scientists, Data Engineers, and cross-functional teams, you will enable AI-driven insights that power smarter, safer, and more efficient mobility worldwide. Main responsibilities:
Main responsibilities: Design and manage CI/CD pipelines for ML models from development to production; Build and maintain scalable ML infrastructure on cloud platforms using infrastructure-as-code;
Design and manage CI/CD pipelines for ML models from development to production; Build and maintain scalable ML infrastructure on cloud platforms using infrastructure-as-code; Automate deployment, monitoring, and rollback processes for reliability and reproducibility;

What you’ll bring

All qualifications

Core experience

  • Expertise in CI/CD and automation tools (e.g., GitHub Actions);
  • Proficiency in containerization and orchestration (Docker, Kubernetes);
  • Hands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker);
  • Good knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices;
  • Familiarity with monitoring and performance tracking tools (Grafana) and workflow orchestration (Airflow);
  • Solid understanding of software engineering and DevOps practices (testing, GitOps, CI/CD design patterns);
Qualification wording
Expertise in CI/CD and automation tools (e.g., GitHub Actions);
Proficiency in containerization and orchestration (Docker, Kubernetes);
Hands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker);
Good knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices;
Familiarity with monitoring and performance tracking tools (Grafana) and workflow orchestration (Airflow);
Solid understanding of software engineering and DevOps practices (testing, GitOps, CI/CD design patterns);

Tools in this posting

  • Python
  • AWS
  • Azure
  • Docker
  • Grafana
  • MLflow
  • SQL
  • Kubernetes
  • SageMaker
  • Airflow
Source — Tool mentions in context
- >3 years of professional experience as a MLOps Engineer; - Strong programming skills in Python and SQL; - Expertise in CI/CD and automation tools (e.g., GitHub Actions);
- Hands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker); - Good knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices; - Familiarity with monitoring and performance tracking tools (Grafana) and workflow orchestration (Airflow);
- Expertise in CI/CD and automation tools (e.g., GitHub Actions); - Proficiency in containerization and orchestration (Docker, Kubernetes); - Hands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker);
- Good knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices; - Familiarity with monitoring and performance tracking tools (Grafana) and workflow orchestration (Airflow); - Solid understanding of software engineering and DevOps practices (testing, GitOps, CI/CD design patterns);
- Proficiency in containerization and orchestration (Docker, Kubernetes); - Hands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker); - Good knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices;

Job description

View original posting ↗

Job Description

Join Continental’s Digital Solutions Department as a MLOps Engineer

In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a MLOps Engineer, you will be at the forefront of transforming machine learning into scalable, production-ready solutions.

You will design, deploy, and maintain robust ML pipelines, ensuring seamless integration of models into production environments and optimizing their performance at scale. Working closely with Data Scientists, Data Engineers, and cross-functional teams, you will enable AI-driven insights that power smarter, safer, and more efficient mobility worldwide.

Main responsibilities:

  • Design and manage CI/CD pipelines for ML models from development to production;
  • Build and maintain scalable ML infrastructure on cloud platforms using infrastructure-as-code;
  • Automate deployment, monitoring, and rollback processes for reliability and reproducibility;
  • Implement monitoring and feedback loops for model performance and continuous improvement;
  • Collaborate with data scientists and engineers to integrate ML models and standardize workflows;
  • Provide technical leadership and mentorship, fostering knowledge sharing and best practices.

Qualifications

  • Academic degree in Computer Science, IT, Engineering, Mathematics, or related field;
  • >3 years of professional experience as a MLOps Engineer;
  • Strong programming skills in Python and SQL;
  • Expertise in CI/CD and automation tools (e.g., GitHub Actions);
  • Proficiency in containerization and orchestration (Docker, Kubernetes);
  • Hands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker);
  • Good knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices;
  • Familiarity with monitoring and performance tracking tools (Grafana) and workflow orchestration (Airflow);
  • Solid understanding of software engineering and DevOps practices (testing, GitOps, CI/CD design patterns);
  • Experience with Agile project management methods (Scrum, Kanban);
  • Experience working in an international team (desirable);
  • Proficient English language skills (spoken / written).

Additional Information

Our offer:

  • Integration in a challenging and international work environment;
  • Flexible working model;
  • Agile and collaborative working style;
  • Continuous opportunities for personal development and learning.

 

We are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome.

Ready to drive with Continental? Take the first step and fill in the online application.

Company Description

Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €39.7 billion in 2024 and currently employs around 95,000 people in 54 countries and markets.

Tire solutions from the Tires group sector make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers. In fiscal 2024, the Tires group sector generated sales of 13.9 billion euros. Continental's tire division employs more than 57,000 people worldwide and has 20 production and 16 development sites.

      Your next step

      • Have your CV and examples of relevant work ready.
      • Check the listed location, eligibility and core experience before starting.
      • Ask the employer about the salary range before committing time to the process.

      Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

      Already applied? Track this application

      Source & posting history

      View original posting ↗

      Source notes

      Source excerpts

      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

      Lousado, Braga, Portugal

      Working pattern and location restrictions need checking in the full posting.

      Work authorization

      No clear work-authorization passage found. Eligibility is unconfirmed.

      Status in our records
      Active
      First seen by us
      Aug 13, 2026
      Recorded sightings
      372
      Last seen by us
      Oct 8, 2026
      Employer says posted
      Jul 28, 2026

      These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

      Report an error

      See how this role fits your experience

      Add your resume to compare the role’s scope, tools and requirements with your experience.

      Find answers in the posting

      AI
      How answers work

      AI selects complete passages from this posting. Check them for conditions and exceptions.

      Uses this posting and your question. No profile needed.