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AI Platform Engineer

TechConnect • IT Consulting & Digital Transformation • Custom Software Development • 2 days ago
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Location
In office (Jakarta)

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 23, 2026. TechConnect scores A on the Alion truth index.

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TechConnect

TechConnect is an Indonesian technology ecosystem enterprise operating as part of the Sinar Mas group. The company focuses on driving digital transformation and technology innovation across diverse sectors, including financial services, renewable energy, digital media, and talent development. Headquartered in Jakarta, Indonesia, it leverages advanced digital solutions and strategic ventures to empower businesses and accelerate economic growth throughout the region.
techconnect.co.id • HQ: Jakarta, Indonesia • Custom Software Development • IT Consulting & Digital Transformation • 51-200 employees
  • The AI Platform Engineer is responsible for designing, building, and maintaining the scalable infrastructure and tooling that enable efficient development, deployment, and monitoring of AI and machine learning solutions across the enterprise.
  • This role develops and manages end-to-end AI platforms, including data pipelines, model training environments, MLOps frameworks, CI/CD automation, containerization, cloud infrastructure, and monitoring systems. It ensures reliability, scalability, security, and performance optimization of AI workloads while aligning with enterprise architecture and governance standards.
  • Strategically, the AI Platform Engineer accelerates AI adoption by providing standardized, reusable, and production-ready environments that reduce time-to-market for AI initiatives. The role strengthens operational stability, model lifecycle governance, and cross-team collaboration-ensuring AI capabilities are sustainable, secure, and enterprise-grade

Requirements

  • Experience (YoE): 6-10 years total; 3-5+ years in AI platform / MLOps within large-scale environments
  • Education: Bachelor’s in Computer Science / Engineering / Data; cloud or DevOps certifications (AWS/Azure/GCP) preferred
  • Project Exposure: Led end-to-end AI platform builds (data pipelines, ML deployment, CI/CD, monitoring) with production-scale impact
  • Company Coverage: Experience in large enterprises, tech companies, or consulting with multi-business / regional exposure
  • Delivery Scope & Scale: Proven track record supporting multiple AI use cases, high data volumes, and enterprise-grade systems
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