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Key Responsibilities:
- Build and manage the full ML lifecycle—from experiment tracking to model deployment and retraining.
- Containerization: Master the deployment of ML workloads using Docker and Kubernetes (OpenShift).
- Set up specialized monitoring for model drift, data quality, and prediction accuracy.
Qualifications Requirements:
- Senior-level experience in MLOps or Production ML.
- Strong Python , ML Frameworks ( PyTorch/TensorFlow ), and MLOps tools ( MLflow, Kubeflow, or SageMaker ).
- Experience with Terraform and Cloud optimization.
Deutsche Telekom TSI Hungary Kft.
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group, recognized as Hungary’s most attractive employer in 2025. They provide IT and telecommunications services with more than 5300 employees, serving hundreds of large customers in Germany and other European countries.