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(Senior) ML Ops Engineer

Continental

(Senior) ML Ops Engineer

full-timePosted: Jan 17, 2026

Job Description

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 Info

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.

      Locations

      • Rua Continental Mabor, Lousado, Braga, Portugal

      Salary

      Estimated Salary Rangemedium confidence

      65,000 - 105,000 EUR / yearly

      Source: ai estimated

      * This is an estimated range based on market data and may vary based on experience and qualifications.

      Skills Required

      • Pythonintermediate
      • SQLintermediate
      • CI/CD pipelinesintermediate
      • Dockerintermediate
      • Kubernetesintermediate
      • MLflowintermediate
      • AWS or Azureintermediate
      • Airflowintermediate

      Required Qualifications

      • Academic degree in Computer Science, IT, Engineering, or related (experience)
      • >3 years as MLOps Engineer (experience)
      • Proficiency in containerization and orchestration (experience)
      • Proficient English (experience)

      Responsibilities

      • Design and manage CI/CD pipelines for ML models
      • Build scalable ML infrastructure on cloud platforms
      • Automate deployment, monitoring, and rollback processes
      • Implement monitoring and feedback loops for models
      • Collaborate with data scientists and engineers
      • Provide technical leadership and mentorship

      Benefits

      • general: Flexible working model
      • general: Agile collaborative style
      • general: Continuous personal development opportunities

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      Continental logo

      (Senior) ML Ops Engineer

      Continental

      (Senior) ML Ops Engineer

      full-timePosted: Jan 17, 2026

      Job Description

      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 Info

      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.

          Locations

          • Rua Continental Mabor, Lousado, Braga, Portugal

          Salary

          Estimated Salary Rangemedium confidence

          65,000 - 105,000 EUR / yearly

          Source: ai estimated

          * This is an estimated range based on market data and may vary based on experience and qualifications.

          Skills Required

          • Pythonintermediate
          • SQLintermediate
          • CI/CD pipelinesintermediate
          • Dockerintermediate
          • Kubernetesintermediate
          • MLflowintermediate
          • AWS or Azureintermediate
          • Airflowintermediate

          Required Qualifications

          • Academic degree in Computer Science, IT, Engineering, or related (experience)
          • >3 years as MLOps Engineer (experience)
          • Proficiency in containerization and orchestration (experience)
          • Proficient English (experience)

          Responsibilities

          • Design and manage CI/CD pipelines for ML models
          • Build scalable ML infrastructure on cloud platforms
          • Automate deployment, monitoring, and rollback processes
          • Implement monitoring and feedback loops for models
          • Collaborate with data scientists and engineers
          • Provide technical leadership and mentorship

          Benefits

          • general: Flexible working model
          • general: Agile collaborative style
          • general: Continuous personal development opportunities

          Target Your Resume for "(Senior) ML Ops Engineer" , Continental

          Get personalized recommendations to optimize your resume specifically for (Senior) ML Ops Engineer. Takes only 15 seconds!

          AI-powered keyword optimization
          Skills matching & gap analysis
          Experience alignment suggestions

          Check Your ATS Score for "(Senior) ML Ops Engineer" , Continental

          Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

          ATS compatibility check
          Keyword optimization analysis
          Skill matching & gap identification
          Format & readability score

          Answer 10 quick questions to check your fit for (Senior) ML Ops Engineer @ Continental.

          Quiz Challenge
          10 Questions
          ~2 Minutes
          Instant Score

          Related Books and Jobs

          No related jobs found at the moment.