Top Machine Learning Jobs in Kuala Lumpur

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

Analyze complex data using advanced analytics like machine learning and AI to provide actionable insights for decision-making and business improvement.

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

As an AI Data Specialist, you will support AI-generated content improvement in Chinese Simplified through tasks like data collection, evaluation, and annotation.

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

The Sales Director, APAC will lead sales efforts in the Aviation sector, manage accounts, generate new opportunities, and strengthen customer relationships to drive growth.

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

The Senior AI Architect will design and implement scalable AI solutions across APAC, mentor teams, and drive AI best practices while engaging with customers.

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

The IT Consultant will design finance processes, lead automation initiatives, and manage SAP FI/CO solutions while ensuring project readiness and ongoing support.

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

The role leads data and AI strategy for BSC APAC, overseeing data governance and AI solutions to drive business value and digital transformation.

The Senior Analyst, HR Technology will lead HR digital transformation initiatives by aligning technology with processes to enhance efficiency and employee experience across APAC.

The Fraud Ops Sr Analyst manages fraud losses, develops policies, and analyzes risks associated with digital banking. Responsibilities include fraud detection, data analysis, collaboration with tech teams, and leadership development.

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.

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

The Senior Machine Learning Engineer will build and maintain ML systems, productionize prototypes, and manage ML workflows, collaborating with cross-functional teams and mentoring others in the organization.

The Full Stack Developer will design and develop web applications, implement server-side logic, and work with databases, utilizing a JavaScript/TypeScript stack. The role involves collaboration with designers and product managers and includes code reviews and modern development workflows.

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.

The intern will develop AI models, enhance neural mechanism understanding, and collaborate on generative modeling while maintaining code quality.

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

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.