(Senior) ML Ops Engineer

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).