Top Machine Learning Jobs in Kuala Lumpur

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

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

Manage the lifecycle of design, development, and deployment of AI/ML systems, conduct operational studies, and oversee risk assessment processes.

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 role involves embedding AI and data intelligence into risk management, developing AI/ML models, and ensuring compliance with governance standards.

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

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.

As a Data Associate, you will capture and label product images, manage datasets, verify data quality, and maintain high labeling accuracy in a fast-paced environment.

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.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

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

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

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

The AI Data Specialist will assist in enhancing AI content through tasks like data collection, evaluation, annotation, and tagging across various media types.

Lead the design and development of scalable systems, translating complex requirements into effective solutions, mentoring team members, and ensuring system performance and availability.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

The MLOps Engineer deploys ML models, manages cloud infrastructure, develops APIs, and ensures efficient ML solutions through collaboration with data scientists and engineers.

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

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.

As an AI Technologist, you'll lead AI strategy and implementation, focusing on AI agent development, automation solutions, predictive analytics, and customer success enhancement across various platforms.

As an AI/ML Research Engineer, you'll fine-tune models, design datasets, evaluate performance, and collaborate to launch AI features, shaping a new consumer product.

As a founding Machine Learning Engineer, you will transform language models into impactful products, fine-tune models, design data pipelines, and collaborate on AI features, significantly influencing the product's technical direction.

As a Senior AI/ML Software Engineer, you will design, deploy, and manage machine learning models and infrastructure, collaborating with cross-functional teams to improve user experience in financial services.

The Software Engineer will develop complex engineering solutions for job personalisation, collaborate with teams, and ensure high service availability while implementing scalable systems.