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

Accenture garantisce le pari opportunità

Tutte le decisioni relative all’impiego vengono prese senza alcuna discriminazione basata su età, razza, credo, colore, religione, sesso, origine nazionale, ascendenza, disabilità, status di veterano, orientamento sessuale, identità o espressione di genere, informazioni genetiche, stato civile, cittadinanza o qualsiasi altra caratteristica tutelata dalla normativa vigente.

I candidati non saranno tenuti a dichiarare precedenti penali o arresti oggetto di provvedimenti di estinzione o di riabilitazione, nell’ambito del processo di selezione.

Accenture si impegna a promuovere opportunità di impiego per i veterani delle forze armate.

Ti invitiamo a consultare il Recruiting and Hiring Statement di Accenture per maggiori informazioni sul trattamento dei tuoi dati personali durante il processo di recruiting e assunzione.

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.