Top Machine Learning Jobs in Kuala Lumpur

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

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.

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

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

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

Perform remote part-time data tasks to improve Malay AI content, including data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

The Senior Gen AI Engineer leads the design and strategy for Generative AI use cases, focusing on user research, product management, and collaboration with cross-functional teams to drive AI innovations and solutions.

This role involves leading AI use case discovery and strategy, user research, product concepting, and prioritization of AI initiatives, ensuring alignment with customer needs and business value.

The Director of Corporate Strategy leads strategic initiatives, develops long-term plans, and manages cross-functional projects while engaging stakeholders and producing executive materials.

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

Provide independent advisory services to identify control gaps in technology projects, focusing on governance, risk management, and business strategy.

The Senior Machine Learning Engineer will design, develop, and maintain scalable ML systems, manage end-to-end ML workflows, and collaborate with cross-functional teams to drive ML engineering excellence.

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 Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As a Machine Learning Scientist Intern, you will develop and test machine learning models, analyze data, and implement solutions in real-world applications.

As a Machine Learning Engineer intern, you'll assist in developing ML models, managing datasets, monitoring experiments, and collaborating with senior engineers and data scientists in a fintech environment.

The Machine Learning Engineer will design and build machine learning systems, maintain models, and automate workflows while collaborating with Data Scientists and MLOps Engineers.

The role focuses on developing generative AI applications using LLMs, integrating solutions on AWS Bedrock, managing workflows, and ensuring AI model reliability and compliance.

Monitor and optimize ML models, automate workflows, collaborate across teams, troubleshoot ML systems, and promote MLOps best practices.

Design, build, validate and productionize ML models and automated data pipelines on Databricks and Microsoft Fabric. Perform large-scale data processing in SQL/Python, feature engineering, experiment design, model evaluation, monitoring, and documentation while collaborating with stakeholders and mentoring junior analysts.

As an AI/ML Agentic Engineer, you'll design autonomous AI agents, build multi-agent systems, and deploy predictive models while collaborating with stakeholders and advancing AI strategies.