Cloud & MLOps Engineer - Financial Services

Ernst & Young Advisory Services Sdn Bhd; Town of Belgium (WI); Hybrid; 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

Other locations: Primary Location Only

The opportunity

Our AI team, based in Belgium, supports clients across various business sectors, with a focus on Financial Services—including banking, capital markets, insurance, wealth and asset management—helping them embrace AI at scale and achieve tangible results while transforming their approach to the future.

We are currently looking for a talented and motivated Cloud & MLOps Engineer to join our team.

Your key responsibilities

• Build and operate secure, scalable ML/LLM platforms on Cloud, automating environments, packaging, testing and deployments via CI/CD (Azure DevOps/GitHub Actions).
• Implement end‑to‑end MLOps/LLMOps: data and model versioning (MLflow/DVC), automated training/inference pipelines, evaluation, and model governance (registries, approvals, rollbacks).
• Engineer robust RAG pipelines: data ingestion, chunking, embeddings, indexing, caching and retrieval optimization for vector stores (Azure AI Search/Redis/pgvector).
• Harden runtime infrastructure (AKS/ACI) with IaC (Terraform/Bicep), secrets management (Key Vault), RBAC, network security and cost/usage monitoring.
• Set up observability across app/data/model layers (Application Insights, Prometheus/Grafana), implement SLOs, alerting, incident response and on‑call runbooks.
• Collaborate with architects, engineers and security to enforce SDLC controls, perform performance tuning and capacity planning, and document operations.
• API Development & Backend Integration: Build and secure APIs for integration with core systems; develop event‑driven microservices; support front‑end integration.
• Security & Monitoring: Enforce robust security (OAuth2, Zero Trust, API rate limiting); establish monitoring dashboards for chatbot performance and infrastructure reliability.

Skills and attributes for success

• 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.

Can we dream for more?

• Policy‑as‑code and compliance tooling (OPA/Gatekeeper, Azure Policy), and DORA‑aligned resilience practices.
• Hands‑on experience operating platforms in highly regulated FS environments.
• Experience with identity/security projects; general security knowledge; cloud networking.

What we offer you

• You will be part of a leading global professional services firm.
• You will be part of the EY family where everyone is willing to offer support and senior management is very accessible.
• You will join a dynamic and growing team with a great mix of young and experienced professionals focusing on financial services.
• You will get extensive trainings on technical matters, as well as soft skills and project management, and you will have access to new technologies and innovative equipment.
• We are proud of our flexible working arrangements, and we will support you to build a successful career and deliver excellent client service, without sacrificing your personal priorities.
• While our client‑facing profession might require part‑time working at client site and business traveling at times, we are committed to helping you achieve a lifestyle balance.

Are you ready to shape your future with confidence? Apply today.

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability‑related adjustments or accommodations you may need.