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.

Lead development and enhancement of Cargo WebApp dashboards, engaging clients, collaborating with teams, and conducting advanced data analysis to drive innovation and deliver solutions.

The Process Engineer role involves improving manufacturing processes, troubleshooting issues, implementing control methodologies, and supporting new technology transfers.

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

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.

The role involves data management and analysis, applying advanced analytical techniques, and designing analytical models to solve complex problems in air freight and transportation.

The Senior Data Scientist will lead data solutions development, apply machine learning, and enhance products with analytics to drive business value and improve user experience.

The role focuses on PV methodology and automation for technical guidance, developing processes and tools to enhance tape-out quality and efficiency.

The Data Annotator is responsible for labeling datasets, reviewing annotations for quality, collaborating with AI teams, and meeting annotation targets.

Develop and implement AI-driven automation and machine learning models to optimize operations and workflows, collaborating with teams to enhance efficiencies.

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

As a Lead Data Scientist, you'll manage end-to-end projects, build and deploy AI models, analyze data, and collaborate with teams to enhance user experience.

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

The Solutions Desk Specialist will qualify customer requirements, develop pricing models, and create tailored Document Management Solutions, collaborating with sales and technical teams to deliver solutions and presentations.

Develop data solutions for business decisions by applying analytics, experimentation, and machine learning. Collaborate with teams to improve products and enhance decision-making processes.

As a Senior Data Scientist, you will lead data projects, develop client relationships, mentor the team, and research new technical solutions.

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

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

The Team Manager for Enterprise AI will lead an international team, manage complex projects, and drive innovation in AI and technology solutions for Evonik.

Lead and optimize manufacturing operations using digital technologies (automation, analytics, simulation, ML). Serve as technical specialist and project lead, drive continuous improvement, mentor teams, support customers, and implement digital solutions to improve production efficiency, quality, and cost.

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

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.

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