AI Engineering & MLOps Assistant Manager

HFG Insurance Recruitment

Kuala Lumpur

On-site

MYR 120,000 - 240,000

Full time

2 days ago
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Job summary

HFG Insurance Recruitment is seeking an AI Engineering / AIOps professional to support the delivery and operationalisation of strategic AI, ML and data solutions across the organisation. You will collaborate with Data Scientists, Data Engineers, Data Architects and Data Platform teams to design, deploy and operate scalable AI/ML solutions.

This role focuses on MLOps, GenAI, production support, automation and continuous improvement, with potential to progress into a technical leadership role.

Qualifications

  • Minimum 5 years of experience in MLOps, AI Engineering, or related fields.
  • Hands-on with MLOps, Generative AI and end-to-end AI/ML lifecycle.
  • Proficiency in Python and Spark for production-grade solutions.
  • Experience with Databricks and modern data platforms.
  • Experience with Azure and/or AWS cloud environments.

Responsibilities

  • Design, develop, deploy and operationalise AI/ML and GenAI solutions.
  • Manage end-to-end AI/ML lifecycle including monitoring and optimisation.
  • Build and maintain MLOps/DevOps pipelines (CI/CD, deployment, monitoring).
  • Collaborate with Data Scientists/Engineers/Architects to translate requirements into scalable solutions.
  • Contribute to cloud standardisation and AI/data workload optimisation.
  • Mentor engineers and lead AI/MLOps workstreams.

Skills

MLOps
AI Engineering
Data Engineering
Python
Spark
CI/CD
Databricks
Azure/AWS
GenAI
LLM-based AI

Tools

Databricks
CI/CD tools
Azure
AWS
GitHub Copilot

Job description

HFG Insurance Recruitment is seeking an AI Engineering / AIOps professional to support the delivery and operationalisation of strategic AI, ML and data solutions across the organisation. You will collaborate with Data Scientists, Data Engineers, Data Architects and Data Platform teams to design, deploy and operate scalable AI/ML solutions.

This role focuses on MLOps, GenAI, production support, automation and continuous improvement, with potential to progress into a technical leadership role.

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