
Ml Engineer
6 days ago
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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