AI Engineer, ML Ops — Databricks Production, Hybrid

BSI

Kuala Lumpur

Ibrido

MYR 180.000 - 260.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

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.

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

ML/Analytics
Databricks
MLOps
Python
Spark
CI/CD
Security & Governance
Containerisation

Strumenti

Databricks
MLflow
Spark
Git
CI/CD tooling

Descrizione del lavoro

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.

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