Top Artificial Intelligence Jobs in Malaysia

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.

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 Infrastructure Engineer designs and implements AI/ML solutions for infrastructure, focusing on automation, security, and cloud management across GCP and multi-cloud environments.

As an Entry-level Generative AI Application Developer, you will assist in developing AI-powered applications, maintaining Python backends, and collaborating with teams to implement generative AI solutions.

The Revenue Intelligence Analyst will transform revenue performance understanding using AI, automate insights, and improve decision-making processes for sales and marketing teams.

The AI Product Manager will lead the development and implementation of AI features, focusing on improving merchant experiences, driving revenue, and facilitating collaboration across teams.

The role involves designing GenAI tools, aligning ChatGPT Enterprise to use cases, establishing architecture for onboarding, maintaining capability maps, and ensuring compliance with governance in workplace productivity solutions.

Lead the implementation and operationalization of GenAI tools, focusing on governance, integration with enterprise security, and performance monitoring.

The Ai Data Associate will annotate content, grade assignments, conduct research, maintain records, and provide data-based evaluations while collaborating on grading criteria.

The role involves developing and implementing RPA and AI-driven automation solutions, collaborating with clients to optimize business processes and deliver agentic AI solutions.

Lead AI transformation initiatives, designing and implementing AI solutions to enhance automation and efficiency in e-commerce operations. Drive collaboration across departments, manage pilot projects, and ensure successful adoption of AI technologies.

The AI Consultant will identify automation opportunities, design AI-powered workflows, and collaborate to implement solutions that improve efficiency and accuracy across e-commerce operations.

The role involves leading project delivery teams, ensuring project excellence, operationalizing strategy, managing client relationships, and implementing process improvements in AI-related projects.

Seeking a Technical Project Manager with over 10 years of experience in managing AI and data-driven technology projects, including complex project delivery, risk management, and team leadership in enterprise settings.

The role involves managing cross-functional teams, creating product strategies, facilitating decision-making, and ensuring alignment between product development and business goals in a fast-paced Fintech environment.

Seeking senior technology leaders for advisory roles on AI product decisions, requiring expertise in AI/ML at scale, system design, and producing decision-ready artifacts.

The AI Specialist is responsible for building and maintaining AI infrastructure, architecting custom LLM solutions, and automating workflows using Python. Key tasks include system setup, data validation, and ensuring cross-functional technical alignment.