(Senior) ML Ops Engineer

Lousado , Portugal
full-time

AI overview

Design and manage CI/CD pipelines for ML models, build scalable ML infrastructure, and collaborate with teams to deliver AI-driven insights for connected mobility.

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.
  • 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).

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.

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Flexible working model

Continental desarrolla tecnologías y servicios vanguardistas para la movilidad sostenible e interconectada de personas y bienes. Fundada en 1871, la empresa de tecnología ofrece soluciones seguras, eficientes, inteligentes y asequibles para vehículos, máquinas, tráfico y transporte. En 2021, Continental generó ventas por 33 800 millones de euros y actualmente emplea a más de 190 000 personas en 58 países y mercados. El 8 de octubre de 2021, la empresa celebró su 150 aniversario.El sector del grupo Automotive incluye tecnologías para sistemas de seguridad pasiva, frenos, chasis, movimiento y control de movimiento. La cartera también cuenta con soluciones innovadoras para la conducción asistida y automatizada, tecnologías de visualización y operación, soluciones de audio y cámara para el interior del vehículo, así como con tecnología inteligente de información y comunicación para los servicios de movilidad de operadores de flotas y fabricantes de vehículos comerciales. La gama de productos y servicios se completa con actividades integrales relacionadas con tecnologías de conectividad, electrónica de vehículos y computadoras de alto rendimiento.

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