About TAO Digital Taiwan
TAO is a Silicon Valley–based global tech company focused on AI product engineering, with 4,000+ professionals and a fast-growing Taiwan team. We build end-to-end AI products and partner long-term with global clients.
Job Description
Key Responsibilities
• Design, build, and maintain MLOps pipelines to support AI/ML and agent-based systems
• Automate model training, deployment, monitoring, and versioning using MLflow and related tools
• Collaborate closely with DevOps and engineering teams to streamline CI/CD for ML workflows
• Support the development and deployment of Agentic AI solutions
• Ensure scalability, reliability, and observability of ML systems in production
Job Requirement
Required Skills & Experience
• Strong experience in Python and software engineering best practices
• Hands-on experience with DevOps / MLOpstools (CI/CD, containerization, orchestration)
• Demonstrated experience working with Databricks is required.
• Experience with MLflow or similar model lifecycle management tools
• Brief understanding of Classical ML and/or Deep Learning algorithms
• Familiarity with Agentic AI concepts or intelligent automation systems
Nice to Have
• Experience deploying ML systems in cloud or enterprise environments
• Exposure to large-scale automation or platform engineering projects
Job Benefits
Please reach out to us.
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