AI/ML Specialist

Etiqa Insurance and Takaful; Kuala Lumpur; On-site; MYR 100,000 - 180,000; Full time

Job summary

Etiqa Insurance and Takaful in Kuala Lumpur is seeking a Machine Learning/AI Specialist to design and deploy AI-driven solutions that transform raw data into actionable insights for business and operations teams.

You will collaborate with cross-functional partners to identify high-impact use cases, build ML, CV, and GenAI models, and ensure solutions are scalable, explainable, and production-ready to improve efficiency and decision quality.

Qualifications

• Bachelor’s degree in AI/ML, Computer Science, Data Science or related field.
• Minimum 3 years hands-on AI/ML solution development experience.
• Experience in API-based integration and deploying AI/ML solutions.
• Strong data analytics capabilities for structured and unstructured data.

Responsibilities

• Design, develop, and deploy ML, CV, and GenAI solutions for business challenges.
• Build and evaluate AI/ML models ensuring accuracy, scalability, and value.
• Translate requirements into scalable AI solutions affecting customer experience and automation.
• Collaborate with cross-functional teams to deploy models via APIs and pipelines.
• Monitor and continuously improve AI solutions in production.

Skills

AI/ML solution development

API integration

Data analytics

Cross-functional collaboration

Education

Bachelor's degree in AI/ML/CS/Data Science

Job description

The Machine Learning/AI Specialist develops and implements AI-driven solutions that transform raw data into actionable insights and decision-support tools for business and operational stakeholders. The role works closely with cross-functional teams to identify high-impact use cases, design appropriate ML or GenAI approaches, and ensure solutions are practical, explainable, and deployable. This supports the business by improving efficiency, enhancing decision quality, and enabling scalable data-driven innovation aligned with strategic priorities.

Requirements:

• Possess a Bachelor's Degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related discipline.
• Minimum 3 years of hands-on experience in AI/ML solution development, including the design, development, and deployment of AI/ML models.
• Experience in application integration using APIs and integrating AI/ML solutions into enterprise applications or production environments.
• Strong knowledge of data analytics, including data preparation, analysis, and deriving insights from structured and unstructured data.

Responsibilities:

• Design, develop, and deploy Machine Learning (ML), Computer Vision, and Generative AI (GenAI) solutions to address business challenges and improve operational efficiency.
• Build, optimize, and evaluate AI/ML models, including Computer Vision and Retrieval-Augmented Generation (RAG) solutions, ensuring accuracy, scalability, and business value.
• Translate business requirements and complex datasets into scalable AI solutions, recommending use cases that enhance customer experience, automation, and decision-making.
• Collaborate with cross-functional teams to integrate, deploy, and optimize AI models in production environments through APIs and deployment pipelines.
• Monitor, maintain, and continuously improve AI solutions by enhancing model performance, reliability, and operational efficiency.