(Senior) ML Ops Engineer
Core
Design, deploy, and maintain robust machine learning pipelines to transform ML into scalable, production-ready solutions for connected mobility and fleet customers.
Role type
Senior MLOps Engineer
Builds
Scalable ML infrastructure and production-ready AI-driven insights for global fleet customers
Domain
Automotive / Connected Mobility / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, CI/CD automation, Docker, Kubernetes, MLflow, SageMaker, AWS/Azure, Infrastructure-as-code, Grafana, Airflow, GitOps
Preferred skills
Agile project management (Scrum/Kanban), international team collaboration
Technologies
GitHub Actions, Docker, Kubernetes, MLflow, SageMaker, 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 to integrate ML models and standardize workflows; Provide technical leadership and mentorship.
Seniority
Senior, hands-on IC with mentorship
