(Senior) MLOps Engineer (m/f/d) - REF97172N
Core
Design, deploy, and maintain robust ML pipelines to transform machine learning into scalable, production-ready solutions for connected mobility and fleet customers.
Role type
Senior MLOps Engineer
Builds
Scalable ML infrastructure and production-ready ML pipelines
Domain
Automotive / Connected Mobility / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, SQL, CI/CD, Docker, Kubernetes, MLflow, SageMaker, AWS/Azure, Infrastructure-as-Code, Grafana, Airflow, GitOps (via careerplan.io/jobs/12745-975574218-S-senior-mlops-engineer-mfd-ref97172n-at-continental-ag)
Preferred skills
Agile project management, international team experience
Technologies
GitHub Actions, MLflow, SageMaker, Docker, Kubernetes, AWS, Azure, Grafana, Airflow
Responsibilities
Design and manage CI/CD pipelines for ML models; Build and maintain scalable ML infrastructure on cloud platforms; Automate deployment, monitoring, and rollback processes; Implement monitoring and feedback loops for model performance; Collaborate with data scientists and engineers to integrate ML models; Provide technical leadership and mentorship.
Seniority
Senior, hands-on IC with mentorship
