ML Ops Engineer – Digital Solutions, Lousado

Description

Job Summary: Continental is seeking an ML Ops Engineer to transform machine learning models into scalable, robust, and production-ready solutions within the Digital Solutions area. Key Highlights: 1. Integration into an international and challenging work environment 2. Agile and collaborative working style 3. Continuous opportunities for personal development and learning Continental is looking for an ML Ops Engineer to join the Digital Solutions team in Lousado. The role will focus on transforming machine learning models into scalable, robust, and production-ready solutions. Continental is a global leader in tire manufacturing and in developing sustainable, safe, and convenient solutions for automotive manufacturers, industrial customers, and end consumers. Founded in 1871, the company operates in 54 countries and markets. **Responsibilities:** Design and manage CI/CD pipelines for machine learning models, from development through to production; Build and maintain scalable ML infrastructure on cloud platforms, using infrastructure-as-code practices; Automate deployment, monitoring, and rollback processes to ensure reliability and reproducibility; Implement monitoring and feedback loops to track model performance and drive continuous improvement; Collaborate with data scientists, data engineers, and cross-functional teams to integrate ML models and standardize workflows. **Requirements:** Bachelor’s or higher degree in Science, Engineering, Mathematics, or a related field; 2+ years of professional experience as an ML Ops Engineer; Strong programming skills in Python and SQL; Practical knowledge of CI/CD and automation tools such as GitHub Actions; Proficiency in containerization and orchestration, including Docker and Kubernetes; Hands-on experience deploying and managing the ML model lifecycle using tools such as MLflow or SageMaker; Solid knowledge of cloud platforms (e.g., AWS or Azure) and infrastructure-as-code practices; Familiarity with monitoring and performance tracking tools such as Grafana, and workflow orchestration tools such as Airflow; Strong understanding of software engineering and DevOps practices, including testing, GitOps, and CI/CD design patterns; Experience with Agile project management methodologies such as Scrum or Kanban; Reliable, collaborative profile with a structured and autonomous working style; Proficiency in English, both spoken and written. **Offer:** Integration into an international and challenging work environment; Flexible working model; Agile and collaborative working style; Continuous opportunities for personal development and learning. **Diversity and Inclusion:** Continental is committed to fostering a workplace where all individuals feel safe, respected, and valued. All applications are welcome.