Top Artificial Intelligence Jobs in Malaysia

As a Full Stack AI Engineer, you will build end-to-end applications integrating ML models into production, develop APIs, and enhance user experience through smart UIs.

As a Founding AI Software Engineer, you will design and deploy ML models, manage the ML lifecycle, and integrate AI into user-facing products, impacting millions in Southeast Asia.

As a Lead AI Engineer at BJAK, you'll design and deploy ML models, mentor junior engineers, and collaborate on AI solutions that enhance financial accessibility across Southeast Asia.

The Founding Lead AI Engineer will design and deploy AI systems, mentor engineers, and lead AI projects, directly reporting to the Head of AI. Responsibilities include managing the ML lifecycle and collaborating with cross-functional teams to drive innovative solutions.

In this role, you'll build and deploy AI/ML models, collaborate with teams, and contribute to impactful systems for financial services.

The Growth Marketing Specialist will drive user acquisition, activation, retention, and expansion through innovative marketing strategies, leveraging AI tools for analysis and automation, and engage with audiences across various platforms.

As an AI Software Engineer, you will build intelligent systems, deploy machine learning models, and enhance user experiences with AI. This role involves defining ML goals, integrating models, and optimizing system performance while collaborating across teams.

The Forward Deployed AI Strategist partners with teams to deploy AI solutions, identifies problems, builds MVPs, measures impact, and collaborates on success metrics.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

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

The AI and Automation Operations Associate will enhance operational excellence by automating processes in customer service, marketing, and compliance, analyzing data and developing dashboards for improved decision-making.

The AI and Automation Operations Associate will drive operational excellence by developing automated solutions for Customer Service, Marketing, Compliance, and Internal Operations, utilizing technologies like SQL and AI tools.

Lead the development of AI tools to enhance productivity, consult with departments on automation, and manage AI technology lifecycle.

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.

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

The Senior Product Manager will define product vision and strategy for AI products, ensuring market fit, overseeing product lifecycle and collaborating across teams for data-driven solutions.

The Intern, Support Engineer will assist in diagnosing and troubleshooting customer issues, communicate with customers, and support onboarding initiatives, while driving innovation within the support team.

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

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

Develop and optimize AI/ML applications, integrate AI solutions into enterprise systems, and support compliance and security requirements while collaborating on cloud and on-prem deployments.

The Senior AI Business Development Manager will drive strategic partnerships, manage relationships with partners, and execute revenue strategies for AI products while collaborating with cross-functional teams.

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.

Lead the design and integration of AI solutions in financial services, ensuring customer satisfaction and technical solution alignment while mentoring technical teams and maintaining compliance.

Design and implement Generative AI applications and scalable AI solutions using Azure. Collaborate across teams to solve business challenges and innovate with AI frameworks.

Join the Artificial Intelligence Platform Services team to create data-driven AI recommendation systems for job seekers. Collaborate across teams, optimize algorithms, and lead projects from concept to deployment, improving job placements at scale.