Top Artificial Intelligence Jobs in Malaysia

The Gen AI Engineer develops and optimizes AI models for generating content and insights, collaborating with teams to enhance banking functions while ensuring compliance with regulations.

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.

Recruiters at Centific attract, screen, and select candidates for AI projects, focusing on multilingual profiles worldwide. They manage recruitment campaigns and qualifications.

Assist in developing and evaluating AI-driven solutions, cleaning data, collaborating with teams, and automating tasks using Python and AI APIs.

Coordinate and manage organizational development programs, employee engagement, training initiatives, and HR projects to enhance talent development and organizational effectiveness.

As an AI Microservices Developer, create Python-based API microservices using LLMs for business automation and collaborate with cross-functional teams for integration and deployment.

Responsible for leading AI-driven video production strategies, optimizing workflows, and collaborating across Southeast Asian markets to enhance content creation using advanced technologies.

The AI Data Analyst at Brooks interprets and manages data, influences AI solutions, supports development of AI models, and collaborates on strategies across teams.

The Engineer will provide Data Engineering solutions, deploy Machine Learning models, and ensure the maintenance of service security and performance.

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.

Develop and deploy applications using LLMs, fine-tune models, implement advanced workflows, and integrate GenAI pipelines into production systems.

The Senior Gen AI Engineer will develop AI applications using advanced technologies in AI/ML, collaborate with teams for integration, and ensure compliance with data governance policies.

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

Lead and manage infrastructure for enterprise Gen AI applications on OpenShift, focusing on capacity planning, disaster recovery, security, and AWS services.

The role involves providing pre-sales technical support, understanding customer needs, and working independently on complex projects. It requires profiling customer systems and advocating solutions.

The AI Engineer will enhance AI-driven EHR systems, focusing on prompt engineering, NLP application development, and model optimization in healthcare workflows.

Design, develop, fine-tune, and deploy large-scale generative AI solutions (LLMs, RAG, AI agents). Build end-to-end AI pipelines, integrate via APIs/microservices, optimize model performance and cost on cloud, and ensure security, governance, and responsible AI practices.

Design, deploy and operate cloud-native (AWS) services and APIs for payments. Build CI/CD, IaC, RESTful/OpenAPI services, microservices and containers, troubleshoot distributed systems, optimize performance and integrate AI tooling into engineering workflows.

Lead enterprise-wide AI-driven transformation of the SDLC by analyzing current processes, identifying toil, and implementing AI, automation, and process re-engineering. Collaborate with Tribe Leads, Architects, and Agile Coaches to adapt solutions to technical maturity levels, industrialize pilot use cases, promote adoption, and drive measurable improvements across Product, BA, Development, Testing, and Operations.

Lead enterprise-wide AI adoption for workplace productivity by defining change management and adoption roadmaps, bridging AI capabilities with business needs, co-creating solutions with HR and business leaders, running engagement activities to drive personal adoption, supporting end-to-end process re-engineering, and guiding information strategy for AI readiness.

As a Product Manager, you'll shape product roadmaps, collaborate with engineering and design, collect user feedback, and own product marketing efforts. You'll drive innovation from concept to execution in a startup environment, working closely with leadership to make impactful decisions.

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

The Director of Asia Operations will lead strategic operations in Southeast Asia, oversee regional logistics, ensure compliance, and drive AI-enhanced workflows.

Develop and implement AI solutions, optimize system performance, manage data pipelines, deploy applications, and collaborate with architects and engineers.

Support design and deployment of enterprise AI solutions, focusing on hands-on development of AI applications and data pipelines.