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ML/AI Infrastructure Engineer
in Infrastructure Department
in Beyond.pl - Poland, Poznań
Not specified
Full-time
Not specified
Full-Time
Job description
See job offer description.
Your tasks:
Design, deploy and optimize GPU-based AI/ML systems.
Manage infrastructure for ML/AI – GPU servers, storage, high-throughput networking.
Optimize environments for model training – hardware selection, cluster configuration (e.g. Kubernetes).
Performance tuning of AI workloads.
Implement MLOps practices and CI/CD pipelines for ML workflows.
Collaborate with data scientists and ML engineers on infrastructure needs.
Document infrastructure and operational procedures.
Stay current with GPU technologies, AI frameworks and best practices.
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Benefits
Stable employment based on employment contract.
Competitive salary and bonus system.
Comprehensive on-the-job training in data center technology.
Modern data center work environment.
Private medical care.
Group insurance.
Career growth in the data center industry.
Job requirements
Technical education in electrical engineering (vocational or technical secondary school).
Valid electrical SEP (E up to 1 kV) certification.
Knowledge of electrical equipment operation (UPS, generators, distribution boards).
Ability to read electrical diagrams.
Hands-on, problem-solving mindset.
Willingness to work shifts (24/7 data center).
Experience in data center / critical infrastructure is a plus.
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