AI and ML Engineer

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

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.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.We are a talent‑and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visitus at www.accenture.com

Equal Employment Opportunity Statement

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Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join agreat place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture