MLOps Lead: Pipelines, CI/CD & Cloud Infra

HCL Technologies Limited; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

HCL Technologies Limited in Kuala Lumpur seeks an experienced ML Ops Engineer to build, deploy, and maintain robust ML pipelines and operational frameworks. You will automate model lifecycle management and contribute to project success by implementing best practices and supporting process compliance.

The role requires strong Python scripting, experience with Kubeflow/Keras/TFX, and hands-on use of CI/CD tools (Jenkins, GitHub Actions, CircleCI).

Qualifications

• Solid proficiency in ML Ops, including automation of ML pipelines and model lifecycle management.
• Solid understanding of DevOps tools for workflow automation (Jenkins, GitLab CI/CD, CircleCI, GitHub Actions).
• Strong Python skills for scripting, data processing, and ML pipeline development.
• Experience with IaC tools Terraform and AWS CloudFormation for cloud resource management.
• Knowledge of monitoring/logging tools such as Prometheus, Grafana, ELK Stack, and Fluentd.
• Experience with version control systems (Git, GitHub, GitLab, Bitbucket).
• Ability to participate in technical discussions and support process compliance within teams.

Responsibilities

• Build, deploy, and maintain robust ML pipelines and operational frameworks.
• Automate model training, validation, and deployment using Kubeflow Pipelines, TFX, and MLflow.
• Apply DevOps practices to streamline CI/CD for ML workflows and monitor pipeline health.
• Provision and manage scalable cloud resources using Terraform and AWS CloudFormation.
• Integrate monitoring/logging for production environments with Prometheus, Grafana, and ELK Stack.
• Collaborate in architecture discussions and ensure compliance with team processes.
• Prepare status reports and support project closure activities.

Tools

Jenkins

GitLab CI/CD

CircleCI

GitHub Actions

Terraform

AWS CloudFormation

Prometheus

Grafana

ELK Stack

Fluentd

Git

GitHub

GitLab

Bitbucket

Job description

HCL Technologies Limited in Kuala Lumpur seeks an experienced ML Ops Engineer to build, deploy, and maintain robust ML pipelines and operational frameworks. You will automate model lifecycle management and contribute to project success by implementing best practices and supporting process compliance.

The role requires strong Python scripting, experience with Kubeflow/Keras/TFX, and hands-on use of CI/CD tools (Jenkins, GitHub Actions, CircleCI).