Building Scalable Infrastructure: You'll 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 it's infrastructure provisioning (Terraform, Helm) or Kubernetes security best practices, you'll help enforce efficiency and compliance.
- Staying Ahead of the Curve: You'll have the chance to explore and implement emerging AI infrastructure trends, including KServe, Ray, and Triton Inference Server.

📌 Devops Engineer (Bengaluru)
🏢 TalentOla
📍 Bengaluru