AI Engineering Lead — Production ML & MLOps

Accenture PLC; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Accenture PLC in Singapore seeks an AI Engineer (Manager) to lead the technical delivery of AI programs, bridging business problems and technical solutions while guiding a team of engineers to production-grade systems. You will engage directly with clients to understand requirements, translate them into AI designs, and drive delivery with high credibility.

The role demands deep technical expertise across ML, data pipelines, and MLOps, along with strong leadership and a proven track record

Formación

• 5+ years building AI/ML systems in production with operational accountability
• 4+ years designing/delivering ML systems in production environments
• Experience facilitating client workshops to elicit requirements and design AI solutions
• 7+ years in classical AI/ML, data engineering, or advanced analytics
• 8+ years full stack engineering: Python and data engineering; cloud-native development on AWS/Azure/GCP
• 3+ years technical leadership: design ownership, code reviews, mentoring

Responsabilidades

• Architect and deliver AI solutions end-to-end at production engineering standards
• Design model harnesses, training pipelines, and serving architectures
• Lead ML lifecycle management, model versioning, experimentation, and evaluation
• Build and operate end-to-end ML pipelines: data prep, feature engineering, training, evaluation, serving
• Implement MLOps: CI/CD for ML, model registry, deployment strategies
• Engage with clients as technical lead; translate requirements into AI designs
• Lead delivery in agile environments; manage scope, risk, and milestones
• Foster team development and continuous learning

Conocimientos

AI/ML systems

MLOps

Data pipelines

Python

Cloud platforms

Educación

Bachelor’s or Master’s in CS/EE/DS

Herramientas

AWS

Azure

GCP

Docker

Kubernetes

Descripción del empleo

Accenture PLC in Singapore seeks an AI Engineer (Manager) to lead the technical delivery of AI programs, bridging business problems and technical solutions while guiding a team of engineers to production-grade systems. You will engage directly with clients to understand requirements, translate them into AI designs, and drive delivery with high credibility.

The role demands deep technical expertise across ML, data pipelines, and MLOps, along with strong leadership and a proven track record