Machine Learning Engineer (H/F)
Core
Accelerating the industrialization of data science and scaling models to production within a large group.
Role type
Senior MLOps Engineer
Builds
End-to-end ML pipelines, production-ready model infrastructure, and observability tools for data and models.
Domain
Data Science / Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
ML pipeline design, cloud infrastructure, CI/CD for ML, model monitoring, data quality management, system optimization, technical mentoring
Preferred skills
Advanced observability implementation, strategic roadmap contribution, ecosystem productivity improvement
Technologies
Cloud environments, CI/CD tools, monitoring frameworks
Responsibilities
Support data scientists on complex technical challenges (large-scale training, pipeline optimization), design and build end-to-end ML pipelines, evolve ML tooling for training and production, ensure model deployment and runtime management, implement advanced data and model observability, contribute to ML strategy and engineering best practices, coach and mentor team members
