ML/AI Network Engineer in Infrastructure Department
in Beyond.pl - Poland, Poznań
Hybrid
Full-time
Mid
Full-Time
Job description
See job offer 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.
More Offers From Beyond.pl
AI Presales Consultant in Beyond.pl Poland, Poznań
Hybrid
Full-time
Mid
Full-Time
Network Administrator in Beyond.pl Poland, Poznań
Hybrid
Full-time
Mid
Full-Time
Electrician / Technician in Beyond.pl Poland, Poznań
Hybrid
Full-time
Not specified
Full-Time
ML/AI Network Engineer in Beyond.pl Poland, Poznań
Hybrid
Full-time
Mid
Full-Time
Internship / Student Placement in Beyond.pl Poland, Poznań
Hybrid
Full-time
Entry
Full-Time
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.
Job 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.