AI and ML Engineer

Accenture Southeast Asia; Puchong; On-site; MYR 60,000 - 120,000; Full time

Job summary

Accenture Southeast Asia is seeking an AI/ML Engineer to design, develop, and deploy ML solutions that drive business innovation. You will build scalable AI-enabled applications, optimize data pipelines, and implement models supporting business and technology objectives.

The role requires hands-on ML, data analytics, and cloud deployment experience, with opportunities to work on cutting-edge AI initiatives and continuous technical growth.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, Mathematics or Statistics.
• Minimum 1 year of experience in Machine Learning, AI, Data Engineering, or Software Engineering.
• Proven experience deploying ML models in production environments.
• Strong knowledge of Big Data Analytics and data processing frameworks.
• Proficiency in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Understanding of SDLC, version control, testing, and deployment methodologies.
• Hands-on experience with MLOps tools and practices.
• Knowledge of cloud platforms (Azure, AWS, GCP).
• Experience with Data Visualization tools (Power BI, Tableau).
• Understanding of statistical analysis, predictive modeling, and experimentation.

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 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 for production operations.
• Develop and maintain reusable code, technical documentation, and engineering standards.
• Contribute to continuous improvement initiatives and adoption of emergent AI/ML technologies.

Skills

Python

Machine Learning

Data Analytics

Communication

Problem-solving

Education

Bachelor's degree in Computer Science etc.

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

About The Role

We are seeking an AI/ML Engineer to design, develop, and deploy machine learning solutions that drive business innovation and deliver measurable impact. This role involves working closely with cross-functional teams to build scalable AI-powered applications, optimize data pipelines, and implement machine learning models that support business and technology objectives.

The ideal candidate combines strong software engineering fundamentals with hands-on experience in machine learning, data analytics, and cloud-based deployment environments.

This role offers opportunities to work on cutting-edge AI initiatives while continuously developing technical expertise.

Key Responsibilities

• Design, develop, test, and deploy machine learning 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.

Job Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field.
• Minimum 1 year of experience in Machine Learning, Artificial Intelligence, Data Engineering, or Software Engineering.
• Proven experience developing and deploying machine learning models in production environments.
• Strong knowledge of Big Data Analytics and data processing frameworks.
• Proficiency in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Understanding of software development lifecycle, version control, testing, and deployment methodologies.
• Strong analytical, problem-solving, and communication skills.
• Experience building and maintaining ETL pipelines.
• Hands-on experience with Machine Learning Operations (MLOps) tools and practices.
• Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Experience with Data Visualization tools such as Power BI, Tableau, or similar platforms.
• Understanding of statistical analysis, predictive modeling, and experimentation techniques.
• Familiarity with generative AI, large language models (LLMs), or AI solution deployment.