AI Data Center App Support Specialist - On-site KL

MSP Hitect Sdn Bhd; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

MSP Hitect Sdn Bhd in Greater Kuala Lumpur is seeking a contract, on-site AI Data Centre Applications Support professional to monitor critical banking applications and data processes. You will respond to incidents, perform root cause analysis, and coordinate fixes with technical teams.

The role involves validating data quality, supporting analytics that rely on AI/ML components, and collaborating with business and IT stakeholders while adhering to SLAs and change management activities.

Qualifications

• Experience in data analytics and data analysis to interpret banking datasets.
• Solid data management and data modeling skills in AI/data centre environments.
• Excellent analytical skills to diagnose issues and perform root cause analysis.
• Relevant experience in application support or production support in banking/financial services.
• Familiarity with AI/ML-driven systems, data pipelines, and monitoring tools.

Responsibilities

• Monitor critical banking applications and data processes to ensure system availability.
• Investigate application issues and perform root cause analysis.
• Coordinate fixes with technical teams and maintain configurations and procedures.
• Work with data workflows, validate data quality, and support analytics processes.
• Collaborate with business and IT stakeholders and adhere to SLAs.
• Support change management and release activities for banking systems.

Skills

Data Analytics

Data Analysis

Data Management

Data Modeling

Analytical Skills

Banking domain experience

Stakeholder communication

Education

Degree in Computer Science/IT/Data Science

Job description

MSP Hitect Sdn Bhd in Greater Kuala Lumpur is seeking a contract, on-site AI Data Centre Applications Support professional to monitor critical banking applications and data processes. You will respond to incidents, perform root cause analysis, and coordinate fixes with technical teams.

The role involves validating data quality, supporting analytics that rely on AI/ML components, and collaborating with business and IT stakeholders while adhering to SLAs and change management activities.