onsite
AI DevOps / ML & LLMOps Engineer - aimaster.live
Software Engineer
Senior AI DevOps Engineer building cloud‑native AI platforms, automating MLOps/LLMOps pipelines, and managing production‑grade AI services on AWS, Azure or GCP.
About the role
Key Responsibilities
- Design, deploy, and maintain scalable AI platforms on cloud providers (AWS, Azure, GCP).
- Build and automate end‑to‑end MLOps/LLMOps pipelines using Terraform, CI/CD tools, Docker, and Kubernetes.
- Implement infrastructure as code, ensuring reproducibility, security, and compliance across environments.
- Integrate and manage vector databases and LLM ecosystems for production workloads.
- Develop Python scripts for data ingestion, model training, and monitoring.
- Collaborate with data scientists and software engineers to optimize model performance and deployment.
Requirements
- 5–10+ years of experience in cloud, DevOps, and AI platform operations.
- Proficiency with IaC (Terraform) and container orchestration (Docker, Kubernetes).
- Hands‑on experience with MLOps/LLMOps frameworks and CI/CD pipeline automation.
- Strong scripting skills in Python and familiarity with vector databases.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
awsterraformmlopscicddockerkubernetespython