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ML/AI Infrastructure Engineer

Beyond.pl  ·  Poland, Poznań
Not specified Full-time Not specified Infrastructure

Job 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.

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.