Design customer-focused AI/ML solutions maximizing business value
Act as trusted technical advisor for AI workloads and adoption
Architect and support large-scale AI deployments (multi-node, multi-GPU)
Collaborate with engineering/product teams to translate feedback into improvements
Deliver technical content for diverse audiences
Move AI workloads from PoC to production environments

🎯 Requirements

3+ years in cloud/MLOps, ML engineering, or solutions architecture
Strong ML ecosystem knowledge (models, use cases, tooling)
Experience with distributed training in multi-node multi-GPU
Hands-on with PyTorch, JAX, TensorFlow, or Hugging Face
Cloud infra, DevOps, modern AI deployment approaches
Programming: Python, Go, Java, or C++

🎁 Benefits

Competitive compensation
Impactful AI infrastructure projects
Remote opportunities across Europe
High ownership and autonomy
Career development and continuous learning
Collaboration with international engineers and AI specialists

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