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MLOps Engineer

Skyict Pcl — Thailand · Posted ~5 days ago

Mid Full-time

Skills

MLOps machine learning operations LLM systems CI/CD AI model deployment GPU infrastructure model serving LLM GPU H100 T4 Ray Serve

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Summary

An MLOps engineering role responsible for designing AI operations workflows, deploying models, managing infrastructure, and enabling reliable AI delivery.

Highlights

Role focused on productionizing AI systems, managing model lifecycles, and building automated ML delivery platforms.

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.