Design, scale, and maintain high-performance MLOps and LLMOps infrastructure for an AI-infused
Collaborate with Data Scientists, ML Engineers, and Cloud Infra teams to streamline training
Ensure GPU utilisation, reliability, and cost-efficiency across cloud environments

🎯 Requirements

Hands-on production experience in DevOps, SRE, or Platform Engineering for AI/ML infra
Proven track record deploying and operationalising ML models and LLMs in cloud-native production
Experience managing GPU infrastructure and HPC environments
Advanced proficiency in Kubernetes, Docker, Helm, KubeFlow; service meshes (e.g., Istio)
Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins
Experience with vLLM, Ray, MLflow, LangChain / LangSmith, DeepSpeed, or Hugging Face TGI

🎁 Benefits

DEIB focused culture and opportunities to grow within a global team
Competitive benefits and career development
Work on cutting-edge AI/ML infrastructure and platform engineering

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