Top Artificial Intelligence Jobs in Malaysia

The Strategic Account Director will manage customer relationships in Malaysia, driving new business opportunities and collaborating with teams to enhance customer success and revenue growth.

The Account Executive is responsible for managing key accounts, growing revenue, and enhancing customer relationships by understanding client needs and aligning SUSE's offerings to meet those needs.

Welo Data seeks individuals for annotation, evaluation, and prompt creation roles in AI, focusing on language data and cultural relevance. Ideal candidates are detail-oriented with native English proficiency.

Join Welo Data to work on AI-related projects involving data annotation, enhancement of AI models, and data generation, focusing on inclusive language usage.

As an AI Engineer, you will develop GenAI applications, build data pipelines, and deploy AI systems on Google Cloud Platform while collaborating with product teams and ensuring engineering excellence.

As a Founding AI Engineer, you'll develop full-stack features and collaborate to integrate ML models into production systems, owning the full development lifecycle.

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.

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

As an AI Email Marketing Specialist, you will execute and automate email campaigns, manage segmentation and A/B testing, and implement AI tools for marketing efficiency.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

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.

Design and build a high-performance desktop application with AI features, focusing on real-time collaboration and optimal performance across macOS and Windows.

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.

Lead the end-to-end AI product strategy, translating complex AI capabilities into scalable products, while collaborating with ML and engineering teams.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Lead and develop core AI infrastructure for a new global AI application, ensuring quality, reliability, and scalability while shaping team culture and hiring strategy.

Lead the design and implementation of AI systems, focusing on building production ML pipelines, improving model performance, and mentoring other engineers.

Design and build Android apps integrating AI features, focusing on performance and user experience. Collaborate with backend and AI teams. Ensure app stability and scalability.

As an iOS Developer, you will design and build AI-powered mobile applications, optimizing user experience and integrating backend intelligence while establishing engineering standards.

Design and implement backend services for AI-powered applications, integrating various AI models, building orchestration pipelines, and ensuring scalable APIs while managing real-world constraints.

Lead and develop an AI-native engineering organization, focusing on engineering excellence, talent development, and automating workflows for financial services clients.

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

Lead AI-driven initiatives, manage cross-functional teams, ensure hands-on project delivery, and implement scalable AI solutions for financial services.

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 role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.