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You will be updated with latest job alerts via emailBuilding Scalable Infrastructure: Youll design implement and maintain cloud infrastructure using Kubernetes to handle AI and non-AI workloads efficiently.
Developing CI/CD & MLOps Pipelines: Help us automate AI/ML workflows using tools like Kubeflow MLflow or Argo Workflows ensuring seamless deployment and monitoring of AI models.
Optimizing AI Model Deployments: Work with ML engineers to fine-tune LLM models AI-driven applications and containerized environments for smooth operation.
Monitoring & Performance Tuning: Keep an eye on Kubernetes clusters and AI workloads using tools like Prometheus Grafana and Loki to ensure high availability and performance.
Automating Everything: Whether its infrastructure provisioning (Terraform Helm) or Kubernetes security best practices youll help enforce efficiency and compliance.
Staying Ahead of the Curve: Youll have the opportunity to explore and implement emerging AI infrastructure trends including KServe Ray and Triton Inference Server.
Full-time