Ml Engineer

2 weeks ago

Bengaluru Delhi Mumbai NCR, India Cloudxtreme Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Description*

Role & Responsibilities:

  • Deploy and manage Kubernetes clusters with autoscaling using Karpenter.
  • Implement event-driven scaling with KEDA for dynamic workloads.
  • Optimize GPU workloads for compute-intensive tasks in Kubernetes.
  • Build and maintain Grafana dashboards with Prometheus integration.
  • Develop Python scripts for automation, IaC, and CI/CD pipelines.
  • Manage containerized deployments with Docker and Helm.
  • Collaborate on CI/CD workflows using Jenkins and GitLab.
  • Troubleshoot production issues ensuring high availability.
  • Mentor junior engineers and enforce DevOps best practices.

Must-Have Skills:

  • Golang (Mandatory) and Python expertise.
  • Strong hands-on with KEDA, Kubernetes, Docker, Helm.
  • CI/CD exposure with Jenkins / GitLab.
  • Knowledge of Grafana, Prometheus for monitoring.

Good-to-Have Skills:

  • AI/ML architecture knowledge (neural networks, inference).
  • Experience with ML deployment tools (Kubeflow, TensorFlow Serving).
  • Familiarity with ML model development (PyTorch, scikit-learn).

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