Senior MLOps Engineer: Cloud AI Platform

Indosat; Jakarta Pusat; On-site; IDR 700,000,000 - 1,100,000,000; Full time

Job summary

Indosat Ooredoo Hutchison seeks a Senior AI/MLOps Engineer to scale AI and data capabilities across its digital ecosystem. You will design, automate, and operate high-throughput ML pipelines and cloud platform environments on Google Cloud Platform, empowering data scientists and AI engineers.

Lead Kubeflow/Vertex pipelines, BigQuery workflows, IAM and VPC guardrails, and secure agentic AI integrations. Collaborate with Data Governance and Cloud Operations to ensure reliability and rapid

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Computer Engineering, Data Science, or a related field.
• Total experience: 5+ years in software, data, or ML engineering, with 3+ years in MLOps/DevOps in enterprise production environments.
• Deep operational experience with GCP, Vertex AI, BigQuery, IAM, and VPC Service Controls.
• Strong experience in BigQuery performance tuning, partitioning and clustering.
• Proven track record designing and monitoring production Kubeflow or Vertex AI Pipelines.
• Experience with model registry workflows, artifact versioning, and lifecycle management.
• Proficiency in Python (OO, packaging, data structures, cloud SDKs) and Linux/bash.
• Hands-on CI/CD with GitLab, Docker, Helm, and GitOps; private package repositories (Artifact Registry).
• Security and governance expertise (IAM, tokens, DLP, guardrails).
• Certifications: Google Cloud Certified – Professional ML Engineer / Data Engineer / Cloud Architect (Nice to have).
• Bonus: Agentic AI frameworks (Google ADK, LangGraph, AutoGen, CrewAI, MCP servers).
• Familiarity with RAG evaluation frameworks and vector databases; Cloud Spanner, Memorystore, GraphDB integrations.
• Problem-solving agility; proactive ownership; strong cross-functional collaboration.

Responsibilities

• Architect and operate ML pipelines using Kubeflow or Vertex AI Pipelines for training, evaluation, and automated retraining.
• Engineer and optimize large-scale BigQuery data workflows and automated data pipelines.
• Handle infrastructure provisioning across Vertex AI, BigQuery, Cloud Run, Spanner, Storage, and GKE.
• Implement least-privilege IAM and VPC-SC perimeters to prevent data access and egress leaks.
• Perform pre-deployment verification for IAM policies, dependencies, and external integrations.
• Develop reusable GitLab CI/CD runner pipelines for pipeline compilation, testing, packaging, and environment promotion.
• Establish security guardrails and governance for AI tooling, secret isolation, token sanitization, and auditing.
• Enable Agentic AI framework integrations and MCP backend connectivity for deployments.
• Troubleshoot container builds, private repos, and runtime discrepancies across Workbench and Cloud Build runners.
• Collaborate with Data Governance, Cloud Ops, Enterprise Security, and partners for compliance and availability.

Skills

Python

Linux

CI/CD

GitLab CI/CD

Security governance

Data governance

Cloud security

DevOps

Pipelines engineering

Education

Bachelor's or Master's in CS/IT/Engineering/Data Science

Tools

GCP (Google Cloud Platform)

Vertex AI

Kubeflow Pipelines

BigQuery

Cloud Run

Cloud Spanner

GKE

Artifact Registry

Job description

Indosat Ooredoo Hutchison seeks a Senior AI/MLOps Engineer to scale AI and data capabilities across its digital ecosystem. You will design, automate, and operate high-throughput ML pipelines and cloud platform environments on Google Cloud Platform, empowering data scientists and AI engineers.

Lead Kubeflow/Vertex pipelines, BigQuery workflows, IAM and VPC guardrails, and secure agentic AI integrations. Collaborate with Data Governance and Cloud Operations to ensure reliability and rapid