Expert MLOps Engineer (REF5185C)
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
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 lifecyclefrom 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 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Hr Executive Recruitment
- Internship
- AIX
- Fleet
- Information Technology Sales
About Company
The largest ICT employer in Hungary, Deutsche Telekom IT Solutions (formerly IT-Services Hungary, ITSH) is a subsidiary of the Deutsche Telekom Group. Established in 2006, the company provides a wide portfolio of IT and telecommunications services with more than 5000 employees. ITSH w ... View more
