Top Artificial Intelligence Jobs in Malaysia

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.

The Talent Acquisition Partner will drive recruitment efforts, set up talent attraction campaigns, interview candidates, and negotiate rates for AI data projects.

Design and develop Generative AI applications, building scalable full-stack solutions, managing various libraries, and collaborating across teams to enhance AI user experiences.

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.

Responsible for automation testing using AI, maintaining frameworks, resolving testing issues, and supporting performance and functional testing.

Develop and implement AI-driven automation and machine learning models to optimize operations and workflows, collaborating with teams to enhance efficiencies.

Seeking a Senior Full Stack Engineer to prototype and build AI-driven features, products, and experiments, focusing on rapid iteration and scalable architecture.

The AI Solutions Engineer role involves design, development, and deployment of enterprise AI systems. Responsibilities include building AI applications, optimizing model performance, managing data pipelines, and collaborating with senior engineers.