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ML Ops Architect

TECH AALTO PTE. LTD.

Remote

SGD 60,000 - 80,000

Part time

Today
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Job summary

A technology firm in Singapore is seeking an experienced MLOps Architect with expertise in AWS SageMaker to provide high-level architectural guidance for an enterprise-grade MLOps platform. This role emphasizes design and integration advisory rather than hands-on development, working closely with engineering and compliance teams. The position allows for remote work, and part-time candidates are welcome. Ideal for individuals with strong skills in MLOps architecture, communication, and stakeholder engagement.

Qualifications

  • Proven experience designing enterprise-grade MLOps platforms on AWS, especially with SageMaker.
  • Strong architectural background in ML CI/CD, model registries, feature stores, monitoring, and orchestration.
  • Experience in regulated industries.
  • Excellent communication skills to articulate architectural tradeoffs.

Responsibilities

  • Provide high-level architecture design for AWS-based MLOps ecosystem.
  • Advise on component boundaries and integration points.
  • Review CI/CD best practices for ML workflows.
  • Ensure architectural recommendations align with compliance requirements.
  • Support architectural decisions with platform engineering teams.
  • Offer guidance on operationalizing ML in regulated environments.

Skills

Enterprise-grade MLOps platforms design
AWS SageMaker
ML CI/CD
Model registries
Feature stores
Monitoring & observability
ML pipeline orchestration
Communication skills
Stakeholder engagement
Consulting with compliance stakeholders
Job description
Job Description: MLOps Architect(AWS SageMaker)
About the Role

We are seeking an experienced MLOps Architect with deep expertise in AWS and SageMaker to provide high-level architectural guidance and advisory support for an enterprise-grade MLOps platform. This role is focused on conceptual design, architecture reviews, and integration advisory rather than hands-on development.

You will work closely with platform engineering, data, and compliance teams to ensure the MLOps ecosystem is scalable, compliant, and aligned with best-practice enterprise standards.

Key Responsibilities
  • Provide high-level architecture design for the client's AWS-based MLOps ecosystem (training, inference, pipelines, registry, monitoring).
  • Advise on component boundaries, integration points, and workflow design across the MLOps stack.
  • Review and recommend best practices for CI/CD for ML workflows, feature stores, model registries, and observability tooling.
  • Ensure architectural recommendations align with security, governance, and compliance requirements.
  • Collaborate with platform engineering and data teams to support architectural decisions.
  • Offer conceptual guidance and architecture-level support around operationalizing ML in regulated environments.
Required Skills & Capabilities
  • Proven experience designing enterprise-grade MLOps platforms on AWS, especially with SageMaker and the broader AWS AI ecosystem.
  • Strong architectural background across:
    • ML CI/CD
    • Model registries
    • Feature stores
    • Monitoring & observability
    • ML pipeline orchestration
  • Experience working in regulated or compliance-heavy industries.
  • Ability to engage and consult with platform engineering, data engineering, and compliance stakeholders.
  • Excellent communication skills and ability to articulate architectural tradeoffs.
Deliverables / Expectations
  • High-Level MLOps Architecture Blueprint covering training, inference, pipelines, registry, monitoring, and governance.
  • Advisory recommendations on component boundaries and architectural integration points.
  • Guidance on compliance alignment for ML workflows in AWS.
  • Ongoing support for conceptual and architecture-level questions throughout the engagement.

This role is for remote working and those who are looking for half day part time work are also welcome.

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