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Accenture Southeast Asia

ML Ops Engineer

Accenture Southeast Asia
Singapore · Full-time · Not Applicable
Role Purpose

Plays a critical role in delivering AI‑enabled risk assessment and decision support capabilities for the Guardian / ITS platform, translating analytical concepts into production‑ready, governable ML solutions within a high‑security government environment. [office.com]

Key Responsibilities


  • Machine Learning Delivery
  • Design, develop, and validate ML models supporting risk scoring, profiling, and pattern detection.
  • Perform feature engineering, experimentation, and model evaluation on operational datasets.
  • Translate analytical hypotheses into deployable ML outcomes.
  • AI POC & Innovation
  • Contribute to AI Proof‑of‑Concept initiatives to validate feasibility, value, and scalability.
  • Rapidly prototype ML approaches and document findings, limitations, and recommendations.
  • Support transition of validated POCs toward production pathways.
  • Production & MLOps Alignment
  • Collaborate with engineering and platform teams to prepare models for controlled deployment.
  • Support model versioning, reproducibility, retraining considerations, and monitoring indicators.
  • Contribute to ML runbooks and operational readiness artefacts.
  • Architecture & Design Collaboration
  • Participate in solution architecture and design reviews from an ML perspective.
  • Ensure ML components align with system architecture, data contracts, and integration boundaries.
  • Advise on ML constraints, trade‑offs, and dependencies in system design decisions.
  • Responsible & Secure AI
  • Apply responsible AI principles including explainability, traceability, and bias awareness.
  • Ensure ML solutions comply with data protection, security, and governance requirements.
  • Support documentation required for audits, reviews, and regulatory assurance.
  • Stakeholder & Team Engagement
  • Provide clear updates on ML progress, risks, and outcomes to project stakeholders.
  • Collaborate cross‑functionally with data engineers, architects, and delivery leads.
  • Contribute to knowledge sharing and capability uplift within the ML / AI team.
  • Role Context
  • Embedded within the Machine Learning / AI team supporting Guardian / ITS.
  • Works closely with Architecture, Data Engineering, and Platform teams.
  • Direct contributor to the programme’s AI roadmap and delivery outcomes


    • Key Skills

    Ranked by relevance

    ai machine learning embedded mlops
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    Country Guide

    Singapore

    High-pay global hub in Asia

    Posted
    May 19, 2026
    Type
    Full-time
    Level
    Not Applicable
    Location
    Singapore
    Company
    Accenture Southeast Asia

    Industries

    Business Consulting Services

    Categories

    Engineering Information Technology

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