AI/ML Engineer: Build Scalable AI Solutions & MLOps

7801 Accenture Solutions Sdn B Company; Puchong; On-site; MYR 90,000 - 130,000; Full time

Job summary

Accenture in Malaysia seeks an AI/ML Engineer to design, develop, and deploy ML solutions with cross-functional collaboration. You will optimize data pipelines and implement ML models for scalable AI applications, blending software engineering with data analytics and cloud deployment.

The role emphasizes hands-on ML experience, production-ready solutions, and evolving skills in AI technologies while delivering measurable business impact in a dynamic environment.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, Mathematics, or Statistics.
• At least 1 year of ML/AI or data engineering/Software Engineering experience.
• Experience deploying ML models in production environments.

Responsibilities

• Design, develop, test, and deploy ML models and AI-driven applications for business use cases.
• Build and maintain scalable data processing and ETL pipelines to support model training and inference.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into technical solutions.
• Monitor, evaluate, and improve model performance, accuracy, scalability, and reliability
• Implement MLOps best practices, including model versioning, automated deployment, monitoring, and governance.
• Troubleshoot and resolve software, model, and data-related issues to ensure smooth production operations.
• Develop and maintain reusable code, technical documentation, and engineering standards.
• Contribute to continuous improvement initiatives and support innovation through emerging AI/ML technologies and methodologies.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

Cloud platforms

Education

Bachelor's degree in CS/DS/AI

Tools

Power BI

Tableau

Git

Airflow

Docker

Job description

Accenture in Malaysia seeks an AI/ML Engineer to design, develop, and deploy ML solutions with cross-functional collaboration. You will optimize data pipelines and implement ML models for scalable AI applications, blending software engineering with data analytics and cloud deployment.

The role emphasizes hands-on ML experience, production-ready solutions, and evolving skills in AI technologies while delivering measurable business impact in a dynamic environment.