Hyderabad, Telangana, India
Information Technology
Full-Time
Mobius by Gaian
Overview
Description
About the Role :
We are seeking an experienced DevOps Engineer to join our infrastructure team, with a strong focus on managing and optimizing GPU-based compute environments for machine learning and deep learning workloads.
In this role, you will be responsible for the end-to-end infrastructure lifecyclefrom provisioning with Terraform/Ansible to deploying ML models using modern frameworks like Hugging Face and Ollama.
Key Responsibilities
About the Role :
We are seeking an experienced DevOps Engineer to join our infrastructure team, with a strong focus on managing and optimizing GPU-based compute environments for machine learning and deep learning workloads.
In this role, you will be responsible for the end-to-end infrastructure lifecyclefrom provisioning with Terraform/Ansible to deploying ML models using modern frameworks like Hugging Face and Ollama.
Key Responsibilities
- Manage infrastructure using Terraform and Ansible
- Deploy and monitor Kubernetes clusters with GPU support (including NVIDIA drivers and H100 SXM integration)
- Implement and manage inferencing frameworks such as Ollama, Hugging Face, etc.
- Support containerization (Docker), logging (EFK), and monitoring (Prometheus/Grafana)
- Handle GPU resource scheduling, isolation, and scaling for ML/DL workloads
- Collaborate closely with developers, data scientists, and ML engineers to streamline deployments and performance
- 5- 8 years of hands-on experience in DevOps and infrastructure automation
- Proven experience in managing GPU-based compute environments
- Strong understanding of Docker, Kubernetes, and Linux internals
- Familiarity with GPU server hardware and instance types
- Proficient in scripting with Python and Bash
- Good understanding of ML model deployment, inferencing workflows, and resource utilization/metering
- Experience with AI/ML pipelines
- Knowledge of cloud-native technologies (AWS/GCP/Azure) supporting GPU workloads
- Exposure to model performance benchmarking and A/B testing
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