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ML/AI Network Engineer
Beyond.pl ·
Poland, Poznań
Hybrid
Full-time
Mid
Infrastructure
Job Description
Your tasks:
Manage data center network infrastructure for ML/AI environments.
Optimize networks for ML/AI – ensuring low latency and high throughput for GPU clusters.
Network automation – develop and maintain tools for automated network configuration and operations.
Configure and operate switches, routers, fabric (e.g. Spine-Leaf architectures, NVIDIA InfiniBand).
Performance monitoring and tuning of network for AI workloads.
Collaborate with ML/AI Infrastructure team on holistic system optimization.
Document network architecture and procedures.
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Benefits
Stable employment in an IT-sector company at the forefront of AI infrastructure in Poland.
Flexible working hours and hybrid work option.
Attractive salary with bonus system.
Significant professional development budget (training, conferences, certifications).
Private medical care.
Multisport / sport-card subsidy.
Modern office and access to cutting-edge AI hardware.
Career growth opportunities in a fast-developing AI/GPU cloud business.
Requirements
Minimum 3 years of experience in ML/AI infrastructure or DevOps/SRE roles.
Hands-on experience with GPU clusters (NVIDIA H100/A100/A40 etc.).
Experience with Kubernetes (especially with GPU scheduling).
Knowledge of ML frameworks (PyTorch, TensorFlow, JAX) and MLOps tools.
Linux administration and bash/Python scripting.
Experience with high-performance storage and networking.
Understanding of distributed training and inference.
Familiarity with monitoring and observability for ML workloads.
Good command of Polish and English.