Senior Machine Learning Platform Engineer (AI)

TL;DR

Senior Machine Learning Platform Engineer (AI): Building and scaling end-to-end infrastructure for model training, evaluation, and deployment with an accent on high-throughput data processing and distributed systems. Focus on architecture design for batch and streaming pipelines, Kubernetes-based orchestration, and optimizing ML platform reliability.

Location: Taipei, Taiwan (Onsite)

Company

hirify.global is an AI-native company that provides Agentic AI as a Service to power business decision-making and make software intelligent.

What you will do

• Architect and scale batch (Spark) and streaming (Flink) pipelines processing billions of daily records.
• Design and operate robust job execution frameworks for ML training and inference.
• Develop internal APIs and developer tools to orchestrate workloads on Kubernetes using Argo, Helm, and Terraform.
• Manage and optimize high-throughput data infrastructure using ClickHouse and PostgreSQL.
• Ensure system observability and high availability using Prometheus and Grafana.
• Mentor junior engineers and advocate for the integration of LLM-based development tools to boost productivity.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• 4+ years of hands-on experience in data systems, ML infrastructure, or platform engineering.
• Strong proficiency in Python and/or Java with experience in large-scale production systems.
• Practical knowledge of Spark, Flink, Kubernetes (GKE), Terraform, and Helm.
• Deep understanding of ML pipelines and distributed job execution.
• Proven ability to use LLM-based tools to accelerate development and debugging.

Culture & Benefits

• Global company presence with 17 offices across APAC, Europe, and the U.S.
• Opportunity to work on cutting-edge Agentic AI platforms.
• Culture of engineering excellence, mentorship, and continuous learning.
• Collaboration across global teams and cross-functional projects.