Azure ML & MLOps Engineer — AI Platform

EY; Town of Belgium (WI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working arrangements

Extensive technical trainings

Access to new technologies and tools

Job summary

Ernst & Young Advisory Services Sdn Bhd is seeking a Cloud & MLOps Engineer to join our AI team, focusing on secure, scalable ML/LLM platforms on Azure and other cloud tech. You will build, test, and deploy end-to-end MLOps pipelines and collaborate with security and architecture teams.

This role offers flexible working arrangements, exposure to cutting-edge AI tooling, and opportunities to shape governance, observability, and cost management within regulated financial services contexts.

Qualifications

• 4–8 years of experience in DevOps/MLOps or platform engineering, preferably in Financial Services.
• Hands-on with Cloud Technologies (AKS, ACR, App Service/Functions, Storage, Key Vault), Python, Bash, containers and Kubernetes.
• Experience with Azure ML and/or Databricks for ML lifecycle; familiarity with Transformers, PyTorch and inference optimization.
• Proficiency with CI/CD (Azure DevOps or GitHub Actions), testing automation and artifact management.
• Experience with vector databases and LLM toolchains (LangChain, Semantic Kernel).
• Proven experience in Infrastructure Engineering: ARM/Bicep, Azure DevOps, CI/CD, general cloud security & IAM, Kubernetes, networking.
• Fluent in Dutch or French and a business proficiency in English.

Responsibilities

• Build and operate secure, scalable ML/LLM platforms on cloud.
• Implement end-to-end MLOps: data/model versioning, automated training/inference pipelines, governance.
• Engineer robust RAG pipelines: data ingestion, embeddings, indexing, caching.

Skills

Years of experience in DevOps/MLOps

Cloud technologies (AKS, ACR, App Serv

Python/Bash/containers/Kubernetes

Azure ML/Databricks ML lifecycle

CI/CD (Azure DevOps/GitHub Actions)

Vector databases & LLM toolchains

Infrastructure Engineering: ARM/Bicep,

English proficiency; Dutch/French

Tools

Azure DevOps

GitHub Actions

Terraform

Kubernetes

Job description

Ernst & Young Advisory Services Sdn Bhd is seeking a Cloud & MLOps Engineer to join our AI team, focusing on secure, scalable ML/LLM platforms on Azure and other cloud tech. You will build, test, and deploy end-to-end MLOps pipelines and collaborate with security and architecture teams.

This role offers flexible working arrangements, exposure to cutting-edge AI tooling, and opportunities to shape governance, observability, and cost management within regulated financial services contexts.