AI Engineer, ML Ops — Databricks Production, Hybrid

BSI; Kuala Lumpur; Hybrid; MYR 180,000 - 260,000; Full time

Job summary

BSI is hiring an AI Engineer - ML Ops to join our Kuala Lumpur team on a permanent hybrid basis. You will build, deploy, and operate ML solutions on the Databricks platform, partnering with data science, engineering, and product teams to deliver production-grade pipelines and services.

The role focuses on software quality, automation, CI/CD for ML, testing, reproducibility, and secure deployment within governance and data protection requirements.

Qualifications

• Proven experience delivering ML/analytic solutions across data disciplines.
• Hands-on experience operating Databricks or comparable lakehouse platforms with admin tasks.
• Experience implementing MLOps across the model lifecycle including CI/CD, versioning, monitoring.
• Collaboration with security, risk, and governance teams to evidence controls.
• Hands-on ML engineering tooling: Python packaging, Git, CI/CD, testing, containerisation.
• Strong communication and cross‑functional collaboration skills.

Responsibilities

• Design, build, and maintain end-to-end ML pipelines on Databricks including data prep, feature engineering, training, and deployment.
• Develop production-grade Python and Spark solutions following engineering best practices and secure coding standards.
• Implement and manage MLOps capabilities: MLflow, model versioning, lifecycle management, reproducibility, deployment governance.
• Build and maintain CI/CD pipelines for ML solutions enabling automated testing, packaging, deployment, and environment management.
• Monitor production ML models and data pipelines, addressing performance, data quality, drift, latency, and operational issues.
• Collaborate with data engineering, data science, security, and governance teams to ensure reliable, scalable AI/ML solutions.
• Apply security, risk, and compliance controls; maintain documentation and traceability for AI services.
• Drive continuous improvement by optimising Databricks workloads and sharing best practices.

Skills

ML/Analytics

Databricks

MLOps

Python

Spark

CI/CD

Security & Governance

Containerisation

Tools

Databricks

MLflow

Spark

Git

CI/CD tooling

Job description

BSI is hiring an AI Engineer - ML Ops to join our Kuala Lumpur team on a permanent hybrid basis. You will build, deploy, and operate ML solutions on the Databricks platform, partnering with data science, engineering, and product teams to deliver production-grade pipelines and services.

The role focuses on software quality, automation, CI/CD for ML, testing, reproducibility, and secure deployment within governance and data protection requirements.