Expert MLOps Engineer (REF5185C) at Deutsche Telekom IT Solutions

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, TensorFlow, MLflow, Kubeflow, SageMaker, Docker, Kubernetes, OpenShift, Terraform, CI/CD, Model Drift Monitoring, ML Lifecycle Management

Industry

IT Services and IT Consulting

Description

Company Description As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team. Job Description You will bridge the gap between Data Science and Operations. Your goal is to operationalize complex ML models for Defense applications, ensuring that AI-driven insights are delivered to the field with "Zero-Downtime" reliability and full traceability. Key Responsibilities: End-to-End Lifecycle: 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). Automation: Implement ML-specific CI/CD (e.g., CML, Kubeflow Pipelines) to automate the promotion of models to production. Observability: Set up specialized monitoring for model drift, data quality, and prediction accuracy. Scalability: Architect distributed systems for large-scale model inference. Qualifications Requirements: Experience: Senior-level experience in MLOps or Production ML. Tech Stack: Strong Python, ML Frameworks (PyTorch/TensorFlow), and MLOps tools (MLflow, Kubeflow, or SageMaker). IaC: Experience with Terraform and Cloud optimization. Defense Readiness: EU Citizenship (living in Germany) is mandatory. Language: Fluent English; German is a strong plus. Additional Information * Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation. Company: Deutsche Telekom TSI Hungary Kft.

Responsibilities

The role involves building and managing the full ML lifecycle, from experiment tracking to deployment and retraining, with a focus on operationalizing complex ML models for Defense applications. Key tasks include containerizing workloads using Docker/Kubernetes and implementing ML-specific CI/CD pipelines for automated production promotion.