LLM Operations Specialist
2 weeks ago
About the Role
We're seeking a highly skilled LLM Ops Engineer to join our team at TETRAHED INC. As a key member of our operations team, you'll be responsible for deploying and managing large language models across cloud environments. Your expertise in Infrastructure as Code (IaC), containerization, orchestration, and cloud platforms will be instrumental in ensuring the efficient, secure, and scalable deployment of AI/LLM systems.
Key Responsibilities
- Develop and implement Infrastructure as Code (IaC) tools like Terraform or Ansible to manage cloud resources.
- Design and implement containerization technologies such as Docker and orchestration using Kubernetes to optimize application deployment.
- Collaborate with cross-functional teams to deploy and manage applications in cloud environments, leveraging expertise in cloud platforms like AWS, Azure, or GCP.
- Implement monitoring tools like Prometheus, Grafana, and logging systems like the ELK stack for real-time performance tracking, ensuring system reliability and scalability.
Required Skills and Qualifications
- Proven experience with IaC tools like Terraform or Ansible, with a focus on cloud resource management.
- Hands-on experience with containerization technologies such as Docker and orchestration using Kubernetes, with a focus on application deployment optimization.
- In-depth knowledge of cloud platforms like AWS, Azure, or GCP, with experience in deploying and managing applications in cloud environments.
- Strong scripting skills using languages such as Python, Shell, or similar, with a focus on automation and system reliability.
PREFERRED QUALIFICATIONS
- Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Administrator, GCP Professional Cloud Architect) are a plus.
- Previous experience working with large-scale LLM models such as GPT, BERT, or similar, with a focus on optimizing system performance and scalability.
- Familiarity with LLM-specific tools and frameworks (e.g., Hugging Face, OpenAI APIs), with a focus on integration and deployment.
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