Top Machine Learning Jobs in Malaysia

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

As a Senior Data Scientist, you'll develop data solutions, perform analyses to enhance products, lead experiments, and mentor team members, driving business value through data-driven decisions.

The Data Scientist will develop data solutions, support product decisions with analytics and machine learning, and communicate insights to stakeholders.

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

The role focuses on developing risk modelling and insights initiatives, collaborating on strategies, and delivering data-driven decision-making frameworks across the bank.

The role involves developing and consulting on physical verification methodologies, working with design teams, and improving tools and flows for quality tape-out.

As a Data Engineer, you'll manage data at scale, work with analytics-driven solutions, and utilize big data technologies on cloud platforms.

As a Senior Machine Learning Engineer, you'll design and build machine learning systems, prototype solutions, maintain models in production, and lead automation efforts while collaborating with data scientists.

Lead innovative machine learning research, develop advanced algorithms, mentor teams, and align projects with business goals to drive efficiency.

Manage data analytics, governance, and AI products. Collaborate with stakeholders to leverage data for business solutions, enhance model performance, and implement data governance processes.

The Head of Product for Data will manage data analytics, governance, and AI to drive efficiency and support business growth by developing data products and predictive models.

The Senior Data Scientist will analyze datasets, develop predictive models for credit scoring and fraud detection, and provide insights for business decisions.

The Machine Learning Engineer will fine-tune diffusion models, curate datasets, evaluate generated outputs, optimize performance, deploy features, and collaborate with teams to integrate generative vision capabilities into products.

You will analyze SPC/FDC charts, troubleshoot process issues, assist with process improvement projects, and coordinate with engineers to enhance production efficiency.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Assist engineers in validating hardware for new product introductions, preparing manufacturing resources, identifying technical issues, and conducting data analysis.

The role involves developing software and algorithms for data analysis, utilizing machine learning and data mining to generate insights for communication products.

The Chatbot Specialist designs and optimizes chatbot functionalities, implements machine learning, and improves customer experience through conversation analytics.

The Automation Solutions Architect will design scalable automation architectures, integrate AI technologies, and support various departments to enhance efficiency.

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.

As a Process Engineer, you will enhance production processes, improve wafer yields, support continuous improvement projects, and coach Associate Engineers while collaborating across teams.

The Senior Product Manager will define product vision and strategy for AI products, ensuring market fit, overseeing product lifecycle and collaborating across teams for data-driven solutions.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

Support production lines, lead continuous improvement projects, develop process recipes, improve process performance, train engineers, and drive production ramp schedules.

Manage product lines to ensure factory meets commitments and priorities, develop recovery plans, and drive improvement in efficiency and execution through effective supply planning.