Senior AI Engineer - MLOps & Cloud Infra Architect

Thales Group; Jakarta Pusat; Hybrid; IDR 300,000,000 - 600,000,000; Full time

Job summary

Thales Group in Tangerang,Banten, ID is seeking a Senior AI Engineer specialized in Machine Learning Operations (MLOps). This role focuses on building, automating, and scaling ML deployment, monitoring, and management infrastructure in production environments.

You will bridge data science and software engineering, ensuring robust, reliable AI solutions. Requires 5+ years in software/DevOps/ML with strong MLOps focus and cloud experience.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related quantitative field.
• 5+ years in software engineering, DevOps, or ML engineering with MLOps focus.
• Proven experience building and managing CI/CD pipelines for ML models.
• Proficiency in Python and containerization (Docker, Kubernetes).

Responsibilities

• Design and manage robust MLOps pipelines across the ML lifecycle.
• Automate deployment, testing, monitoring, and retraining of ML models.
• Develop and maintain ML-focused CI/CD pipelines.
• Implement IaC for ML environments.
• Monitor production model performance and drift, retraining as needed.
• Collaborate with data scientists and software engineers to move experiments to production.
• Manage cloud-based ML infrastructure (AWS, Azure, GCP).
• Ensure scalability, reliability, and security of ML systems.
• Troubleshoot ML deployments and infra issues.
• Stay current with MLOps tools and best practices.

Skills

Python

CI/CD for ML

MLOps

DevOps

Communication

Team collaboration

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

Airflow

Kubeflow

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

Thales Group in Tangerang,Banten, ID is seeking a Senior AI Engineer specialized in Machine Learning Operations (MLOps). This role focuses on building, automating, and scaling ML deployment, monitoring, and management infrastructure in production environments.

You will bridge data science and software engineering, ensuring robust, reliable AI solutions. Requires 5+ years in software/DevOps/ML with strong MLOps focus and cloud experience.