We are looking for an experienced MLOps Engineer with expertise in Linux, Kubernetes, Terraform, automation, monitoring, and AI/ML platform operations. The candidate will be responsible for building, managing, and optimizing scalable infrastructure and data platforms to support AI/ML and distributed systems workloads.
Key Responsibilities
Deploy, manage, and optimize AI/ML platforms and data pipelines.
Build and maintain infrastructure using Terraform and automation tools.
Manage Kubernetes clusters and containerized settings.
Monitor system health and performance using Splunk/Grafana.
Ensure reliability, scalability, and security of distributed systems.
Automate operational processes and platform management tasks.
Collaborate with engineering and data teams to support AI/ML workloads.
Troubleshoot and resolve platform and infrastructure issues.
Mandatory Skills
Linux Administration
Terraform (Infrastructure as Code)
Kubernetes
Splunk / Grafana
AI/ML Platform Support
Data Pipelines
Distributed Systems
Automation & Scripting