ML Ops Engineer

Key Responsibilities
1) 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.

2) 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.

3) 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.

4) 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.

5) 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.

6) 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.

7) 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

Singapore

Equal Employment Opportunity Statement

We are looking for people with their own life story and out-of-the-ordinary resume. Individual, not just like the rest. Different rather than conventional. Diversity is our strength and an essential element of Accenture’s corporate culture. We want an inclusive and open working environment in which everyone can be their natural selves. Everyone is welcome to apply to Accenture, regardless of origin, creed, disability, age, nationality, marital status, partnership status, sexual orientation, gender or other legally protected reasons.

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