MLOps Engineer

Responsibilities:

• Design and maintain end-to-end ML/LLM system development and operations in production.
• Build CI/CD pipelines for AI model development and orchestration, enabling continuous delivery and automation of AI workloads.
• Manage the full lifecycle of generative AI models (GenAIOps) development, deployment, and operations.
• Deploy and optimize workloads across on-premise and cloud environments.

Requirements :

• Minimum 2 years of experience in the AI domain.
• Hands-on experience with GPU infrastructure (e.g., H100, T4) and GPU stack management.
• Experience with model serving and orchestration frameworks such as Ray Serve.
• Strong background in CI/CD, automation, and integrating AI into enterprise applications.
• Familiarity with both on-premise and cloud deployment.