MLOps Engineer H/F
Core
Design and implement MLOps CI/CD pipelines on Azure for Machine Learning, Computer Vision, and Natural Language Processing projects.
Role type
MLOps Engineer
Builds
Production ML models and MLOps infrastructure on Azure
Domain
Cloud computing (Azure) + Machine Learning
Deliverable
production ML models
Required skills
Azure Machine Learning, Azure DevOps, Kubernetes, Docker, Python, scikit-learn, TensorFlow, PyTorch, MLOps concepts (versioning, monitoring, retraining)
Preferred skills
None stated
Technologies
Azure, Azure Machine Learning, Azure DevOps, Kubernetes, Docker, Python, scikit-learn, TensorFlow, PyTorch
Responsibilities
Design and implement MLOps CI/CD pipelines on Azure; Deploy and manage ML models using Azure services; Set up monitoring and alerting solutions; Ensure code and model quality through testing; Collaborate with Data Science and business teams; Contribute to continuous improvement of MLOps practices
Seniority
Junior to Mid-level (minimum 1 year experience)