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MLOps Engineer

Skyict Pcl — Thailand (for Qatar branch/hub) · Posted ~3 days ago

Skills

AI/ML Operations CI/CD Pipelines Generative AI GPU Infrastructure Ray Serve On-Premise and Cloud Deployment CI/CD AI Models

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Summary ✨ AI‑Generated

An innovative tech company specializing in AI systems is seeking an experienced MLOps Engineer to design and maintain end-to-end ML/LLM development and operations in production. You will build CI/CD pipelines for AI model development, manage generative AI lifecycles, and deploy scalable solutions across on-premise and cloud environments.

Highlights

Opportunity to work with advanced GPU infrastructure and cutting-edge AI frameworks. Build and manage production-grade ML pipelines while working across hybrid environments.

Description

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.