Kerja Sepenuh Masa, AI Engineer di ZTE Malaysia Federal Territory - Maukerja

A) AI Solution Development and Automation

Drive the organization’s AI initiatives through the design and implementation of intelligent systems and automation solutions.

Identify opportunities where AI can add business value and optimize existing processes

B) Data Management and Preparation

Oversee the entire data pipeline, from data collection and cleaning to preprocessing and storage.

Ensure data integrity, consistency, and accessibility for machine learning and AI applications.

Collaborate with data engineers and analysts to create scalable and efficient data architectures.

C) Model Training, Evaluation, and Deployment

Train, validate, and fine-tune machine learning models for optimal performance.

Evaluate models using appropriate metrics and perform error analysis to improve accuracy.

Deploy AI models into production environments and integrate them with existing applications or business systems.

D) Integration and Maintenance

Work with software development teams to integrate AI solutions into broader IT systems and enterprise platforms.

Continuously monitor AI systems in production, ensuring performance stability, fairness, and reliability.

Troubleshoot issues and retrain models as new data becomes available.

E) Cross-Functional Collaboration

Collaborate with business stakeholders, project managers, and engineers to define AI strategies that align with organizational objectives.

Translate business challenges into technical solutions and communicate results effectively to non-technical audiences.H) Technical Leadership and Mentorship

f) Provide technical guidance to team members in AI, data science, and automation projects.

Conduct knowledge-sharing sessions and code reviews to promote best practices.