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· Bachelor’s or master’s degree in Computer Science, Engineering, AI, Data Science or a related technical field.
· One to two years of experience in AI engineering, infrastructure, MLOps, DevOps, research engineering or system administration.
· Hands-on experience with Linux, Python and container technologies such as Docker, Kubernetes, OpenShift or similar platforms.
· Experience deploying, integrating, operating or troubleshooting AI models, inference workloads, RAG solutions or AI applications.
· Strong technical problem-solving and communication skills.
· Interest in developing into a European customer-facing technical role.
· Ability to work effectively across technical, commercial and partner teams.
· Curiosity, initiative and a strong willingness to learn new AI and infrastructure technologies.
Experience with OpenVINO, Intel platforms, model optimization, performance benchmarking, AI infrastructure is beneficial but not required.
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