AI Solutions Engineer

ABB Malaysia Sdn. Bhd.; Selangor; Hybrid; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Dental

Education support

Medical

Performance

Employee Incentive Program

Scheme

Job summary

ABB Malaysia Sdn. Bhd. is seeking a Service Business Process Manager to architect and deploy end-to-end AI/ML solutions across Operations, Sales and Service.

You’ll collaborate with data engineers, product managers, and business stakeholders to translate needs into production-ready models and measurable business impact. This hybrid role blends engineering rigor with strategic business insight. You’ll lead model development, CI/CD pipelines, governance, and cross-functional adoption of AI

Qualifications

• Bachelor’s degree in a technical discipline; Master’s is a plus.
• 5+ years hands-on ML/DS/AI in commercial/enterprise setting.
• Experience deploying ML models to production at scale.
• Strong Python programming and model lifecycle knowledge.

Responsibilities

• Design, develop and deploy end-to-end ML models and AI solutions across functions.
• Architect ML workflows including data prep, feature engineering, training, validation, deployment.
• Conduct exploratory data analysis and feasibility studies for business value.
• Collaborate with data engineers and stakeholders to build scalable data pipelines.
• Apply MLOps practices: versioning, CI/CD, monitoring, governance and docs.
• Monitor production models, address drift, retrain as needed.
• Communicate insights to technical and non-technical audiences and drive adoption.

Skills

Python

ML frameworks

Cloud platforms

MLOps

Cross-functional teamwork

Education

Bachelor's degree in CS/Engineering/Math/Physics

Master's in ML/DS/AI (advantage)

Tools

Scikit-learn

TensorFlow

PyTorch

AWS SageMaker

Azure ML

Vertex AI

Job description

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

Reporting

Service Business Process Manager

Your role and responsibilities

In this role, you will develop and deploy end-to-end AI and machine learning solutions that address complex business challenges across Operations, Sales, and Service functions. This role combines technical expertise in ML/AI with business acumen to translate customer needs into scalable, production-ready AI solutions. The engineer works closely with data engineers, product managers, and business stakeholders to architect, build, test, and optimize AI models while ensuring solution quality, governance, and measurable business impact.

The work model for this role is: #LI-Hybrid

You will be mainly accountable for:

• Designing, developing, and deploying machine learning models and AI solutions to solve business challenges in operations, maintenance, forecasting, and process optimization.
• Architecting end-to-end ML workflows, including data preparation, feature engineering, model development, validation, and production deployment.
• Conducting exploratory data analysis, feasibility assessments, and proof-of-concept (POC) initiatives to evaluate business value and technical viability.
• Collaborating with data engineers and cross-functional teams to build scalable data pipelines and ensure high-quality training datasets.
• Applying ML engineering and MLOps best practices, including model versioning, CI/CD, containerization, monitoring, governance, and documentation.
• Monitoring model performance in production, address model drift, and implement retraining strategies to maintain accuracy and business relevance.
• Communicating AI/ML insights to technical and non-technical stakeholders, contribute to engineering standards, and drive adoption of emerging AI technologies and best practices.

Qualifications for the role

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; Master's degree in Machine Learning, Data Science, Artificial Intelligence, or a related field is an advantage.
• Around 5 years of hands‑on experience in Machine Learning, Data Science, or AI solution development within a commercial or enterprise environment.
• Demonstrated success in designing, developing, and deploying machine learning models into production environments at scale.
• Strong programming skills in Python, with practical experience using ML frameworks and libraries such as Scikit-learn, TensorFlow, and PyTorch.
• Experience working with cloud-based machine learning platforms, including AWS SageMaker, Azure Machine Learning, or Google Vertex AI.
• Solid understanding of MLOps, model lifecycle management, and deployment pipelines, with exposure to business-driven AI use cases such as predictive maintenance, forecasting, optimization, or intelligent automation.

What’s in it for you?

We want you to bring your full self to work—your ideas, your energy, your ambition. You’ll have the tools and freedom to grow your skills, shape your path, and take on challenges that matter. Here, your work creates impact you can see and feel, every day.

More about us

ABB's Service Division partners with our customers to improve the availability, reliability, predictability and sustainability of electrical products and installations. The Division’s extensive service portfolio offers product care, modernization, and advisory services to improve performance, extend equipment lifetime and deliver new levels of operational and sustainable efficiency. We help customers keep resources in use for as long as possible, extracting the maximum value from them, and then recovering and regenerating products and materials at the end of their useful life.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

ABB is a global leader in power and automation technologies. Based in Zurich, Switzerland, the company employs 145,000 people and operates in approximately 100 countries. The firm’s shares are traded on the stock exchanges of Zurich, Stockholm and New York.

ABB’s business is comprised of five divisions that are in turn organized in relation to the customers and industries they serve.

The group is particularly proud of its record for innovation - widely recognized through countless awards and scientific accolades. Many of the technologies we take for granted today, from ultra efficient high-voltage direct current power transmission to a revolutionary approach to ship propulsion, were developed or commercialized by ABB.

Today ABB is the largest supplier of industrial motors and drives, the largest provider of generators to the wind industry and the largest supplier of power grids in the world.

ABB provides industry leading software and deep domain expertise to help the world’s most asset intensive industries such as energy, utilities and mining solve their biggest challenges, from plant level, to regional network scale, to global fleet-wide operations. Our enterprise software portfolio offers an unparalleled range of solutions for asset performance management, operations and workforce management, network control and energy portfolio management to help customers reach new levels of efficiency, reliability, safety and sustainability. We provide unmatched capabilities to integrate information technologies (IT) and operational technologies (OT) to provide complete solutions to our customers’ business problems.

Perks and benefits Dental Education support Medical Performance Employee Incentive Program Scheme