AI Solutions Engineer - Hybrid ML, Production & MLOps

BlackBerry Inc.; Petaling Jaya; Hybrid; MYR 180,000 - 240,000; Full time

Job summary

ABB's Service Division in Malaysia seeks an ML/AI engineer to design, develop, and deploy production-ready AI solutions that address complex challenges in operations, maintenance, forecasting, and process optimization. The role emphasizes scalable ML workflows and governance.

You will collaborate with data engineers, product managers, and business stakeholders to translate needs into measurable business impact, with a hybrid work model and strong emphasis on MLOps best practices.

Qualifications

• Bachelor's degree in a technical field is required.
• Around 5 years of hands-on ML/DS/AI experience in an enterprise environment.
• Experience deploying ML models to production at scale.

Responsibilities

• Designing, developing, and deploying ML models and AI solutions to address business challenges.
• Architecting end-to-end ML workflows from data prep to production deployment.
• Collaborating with data engineers and cross-functional teams to build scalable data pipelines.
• Monitoring model performance and governance, ensuring measurable business impact.

Skills

Python

ML & AI

Data analysis

CI/CD

MLOps

Education

Bachelor's degree in Computer Science or related

Master's degree in Machine Learning/Data Science/AI

Tools

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Azure ML

Job description

ABB's Service Division in Malaysia seeks an ML/AI engineer to design, develop, and deploy production-ready AI solutions that address complex challenges in operations, maintenance, forecasting, and process optimization. The role emphasizes scalable ML workflows and governance.

You will collaborate with data engineers, product managers, and business stakeholders to translate needs into measurable business impact, with a hybrid work model and strong emphasis on MLOps best practices.