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AI Pipeline Engineer

Oxygenai — Thailand · Posted ~4 hours ago

Skills

Machine learning pipelines Python Git Pipeline deployment Pipeline maintenance Infrastructure as Code Automation Security Compliance Troubleshooting

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Summary ✨ AI‑Generated

A technology team is seeking an AI Pipeline Engineer to design, implement, deploy, and maintain machine learning pipelines. You will integrate AI workflows with databases and dashboards, automate repetitive tasks, maintain infrastructure-as-code environments, and ensure secure, compliant, reliable pipeline operations.

Highlights

Design, deploy, maintain, and optimize scalable machine learning pipelines while automating infrastructure and collaborating closely with full-stack teams.

Description

Responsibilities: Develop machine learning pipelines, including the design, implementation, deployment, and maintenance of these systems.Collaborate with the full-stack team to ensure seamless integration of AI pipelines and databases with dashboards.Monitor and optimize pipeline performance to ensure fast, reliable, and scalable delivery.Develop tools and scripts to automate repetitive tasks and improve pipeline efficiency.Maintain and update infrastructure as code (IaC) templates for environments.Ensure the security and compliance of the pipeline and deployed software systems.Continuously evaluate and improve existing pipeline infrastructure to support evolving needs.Troubleshoot and resolve issues related to pipeline failures, system performance, and integration problems. Qualifications & Skills: Bachelor’s degree in Computer Engineering and Computer ScienceProficiency in writing clean and efficient code in Python.Experience with version control systems, primarily Git.Familiarity with containerization (Docker); experienced with container orchestration (Kubernetes, OpenShift) is considered a plus.Experience with infrastructure automation tools (e.g., Ansible).Self-motivated with a keen interest in learning new technologies and solving complex problems.Strong communication skills and the ability to collaborate in a fast-paced, dynamic start-up environment.