Senior AI Platform Engineer — Enterprise MLOps & CI/CD

Techconnect.id

Jakarta Pusat

On-site

IDR 800,000,000 - 1,100,000,000

Full time

3 days ago
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Job summary

Techconnect.id is seeking an AI Platform Engineer to design, build, and maintain scalable AI infrastructure, data pipelines, and MLOps tooling across the enterprise. You will ensure reliability, security, and performance of AI workloads, implement CI/CD, containerization, and cloud infrastructure, and drive governance aligned with enterprise standards.

With 6–10 years total experience and 3–5+ years in AI platforms, you will lead end-to-end projects for production-scale AI use cases in large

Qualifications

  • 6–10 years total experience in AI platform development and operations.
  • 3–5+ years in AI platform / MLOps within large-scale environments.
  • Bachelor’s degree in Computer Science, Engineering, or Data.
  • Cloud or DevOps certifications (AWS/Azure/GCP) preferred.
  • Led end-to-end AI platform builds (data pipelines, ML deployment, CI/CD, monitoring).
  • Experience in large enterprises, tech companies, or consulting with multi-business exposure.
  • Delivery of production-scale AI use cases with high data volumes.

Responsibilities

  • Design, build, and maintain scalable AI infrastructure and tooling.
  • Develop end-to-end AI platforms including data pipelines and training environments.
  • Implement CI/CD, containerization, monitoring, and governance aligned with enterprise standards.
  • Accelerate AI adoption by providing production-ready environments and reusable components.
  • Collaborate across teams to ensure reliability, security, and performance of AI workloads.

Skills

AI platform engineering
MLOps
CI/CD automation
Containerization
Cloud infrastructure
Monitoring systems

Education

Bachelor’s in Computer Science / Engineering / Data

Tools

AWS
Azure
GCP

Job description

Techconnect.id is seeking an AI Platform Engineer to design, build, and maintain scalable AI infrastructure, data pipelines, and MLOps tooling across the enterprise. You will ensure reliability, security, and performance of AI workloads, implement CI/CD, containerization, and cloud infrastructure, and drive governance aligned with enterprise standards.

With 6–10 years total experience and 3–5+ years in AI platforms, you will lead end-to-end projects for production-scale AI use cases in large

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