Top Machine Learning Jobs in Malaysia

This role involves leading marketing consulting solutions, utilizing AI-driven strategies, and optimizing marketing technology to enhance client performance in Southeast Asia.

Lead consulting engagements on AI solutions, drive business development, support sales cycles, achieve sales targets, and build client relationships.

Develop firmware for communication devices, participate in product development, solve complex problems, and define software specifications. Requires collaboration and effective communication with other engineers.

The Data Scientist will conduct data mining, utilize machine learning for model building, analyze datasets, develop insights, and mentor team members.

The Data Science Analyst provides statistical support for studies, conducts analyses, prepares reports, and collaborates on analysis plans within a team.

This role involves extracting and transforming data, designing algorithms for insights, applying best practices in software engineering, and developing analytics platforms.

The Sr Solution Consultant will lead demonstrations of Workday's AI-powered recruiting solutions, collaborate with sales and clients to optimize talent acquisition processes, and facilitate strategic discussions to enhance hiring workflows.

The Field Application Engineer will serve as the primary technical contact for customers, focusing on implementing AI/ML hardware/software solutions, collaborating with teams, and ensuring customer success.

Manage a Process Engineering and Sustaining group, optimizing semiconductor processes to achieve productivity, cost, and quality goals while ensuring compliance with quality standards and continuous improvement programs.

As a Process Engineer, you will monitor and improve production processes, coach Associate Engineers, and participate in continuous improvement projects in semiconductor manufacturing.

The Senior Data Scientist will lead the development of data solutions by applying analytics and machine learning to enhance business decisions and product value. Responsibilities include analyzing user interactions, conducting experiments, mentoring team members, and collaborating with product teams to drive data-driven outcomes.

The Data Analyst role involves annotating emails, identifying malicious URLs, labeling data for AI training, ensuring process adherence, and supporting project management KPIs.

Lead global risk and trading teams, implement quantitative risk models, analyze order flows, detect trading abuse, and enhance risk processes.

The IT Analytical Engineer develops BI solutions, supports self-service analytics, and collaborates to model data from various sources, enabling actionable insights.

Lead data science engagements in Malaysia, driving business impact through data insights and AI/ML projects while mentoring teams.

Develop business strategies for Autonomous Operation in SEA, engage with customers, lead technology discussions, and create sales tools.

The role involves developing process formulations, monitoring production processes, and driving continuous improvement plans to enhance productivity and wafer yields.

The role involves developing machine learning models, integrating analytics into manufacturing systems, ensuring data quality, and delivering performance insights through dashboards.

The Technical Consultant will drive process improvements using AI, support strategic client implementations, and innovate payroll solutions through technology.

Develop and maintain credit risk models for Consumer, Small Business, and Wholesale segments. Monitor model performance and ensure compliance with governance frameworks while collaborating with stakeholders for analytical solutions in credit decisioning and strategy.

Manage a Process Engineering group, optimizing semiconductor fabrication processes, ensuring quality and efficiency, while leading team development and compliance.

This Data Analyst role involves annotating and examining emails, identifying malicious links, labeling data for AI, and ensuring compliance with processes. The candidate will also monitor KPIs and assist project management.

The Yield Analytics Engineer develops processes for manufacturing, analyzes data to drive yield improvements, and works with teams for quality assurance in semiconductor production.

As a Process Engineer, you will improve wafer yields, support production processes, and train Associate Engineers while enhancing process efficiency through data analysis and collaboration.

Leading marketing strategies for the Carousell Group's platforms, managing user acquisition and brand positioning, optimizing marketing efforts, and fostering a data-driven culture within the organization.