Part-Time AI/ML Engineer — MLOps & GPU Computing

Deutsche Telekom; Warszawa; On-site; PLN 60,000 - 110,000; Part time

Job summary

Deutsche Telekom is seeking a part-time AI/ML Engineer to design and deploy production-grade AI/ML solutions. You will build MLOps pipelines, automate training and deployment, and monitor models while coordinating with data scientists, software engineers, and business stakeholders.

The role emphasizes GPU resource optimization and scalable architectures. The candidate should have 3+ years of AI/ML experience, strong Python, and hands-on with PyTorch/TensorFlow, Scikit-learn, Hugging Face, and

Qualifications

• 3+ years of experience in AI/ML projects.
• Strong Python and ML framework knowledge.
• Practical experience with MLOps tools and CI/CD pipelines.
• Experience with distributed AI/ML environments and GPUs.

Responsibilities

• Design and develop AI/ML solutions for production.
• Build and maintain MLOps pipelines for CI/CD of models.
• Automate model training, deployment, and monitoring.
• Managing end-to-end ML lifecycle and governance.
• Collaborate with data scientists, software engineers and stakeholders.
• Optimize GPU-based compute resources and performance.
• Monitor data drift and model quality; document architecture.

Skills

Python

PyTorch

TensorFlow

Scikit-learn

Hugging Face

CI/CD tooling

Docker

Kubernetes

MLflow

Kubeflow

Git

Tools

GitHub Actions

Azure DevOps

GitLab CI

Docker

Kubernetes

NVIDIA GPU Operator

KServe

Job description

Deutsche Telekom is seeking a part-time AI/ML Engineer to design and deploy production-grade AI/ML solutions. You will build MLOps pipelines, automate training and deployment, and monitor models while coordinating with data scientists, software engineers, and business stakeholders.

The role emphasizes GPU resource optimization and scalable architectures. The candidate should have 3+ years of AI/ML experience, strong Python, and hands-on with PyTorch/TensorFlow, Scikit-learn, Hugging Face, and