Top Machine Learning Jobs in Kuala Lumpur

As a Senior Data Scientist, you'll develop data solutions, perform analyses to enhance products, lead experiments, and mentor team members, driving business value through data-driven decisions.

The Data Scientist will develop data solutions, support product decisions with analytics and machine learning, and communicate insights to stakeholders.

As a Senior Machine Learning Engineer, you'll design and build machine learning systems, prototype solutions, maintain models in production, and lead automation efforts while collaborating with data scientists.

Lead innovative machine learning research, develop advanced algorithms, mentor teams, and align projects with business goals to drive efficiency.

Assist engineers in validating hardware for new product introductions, preparing manufacturing resources, identifying technical issues, and conducting data analysis.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

The Chatbot Specialist designs and optimizes chatbot functionalities, implements machine learning, and improves customer experience through conversation analytics.

The Automation Solutions Architect will design scalable automation architectures, integrate AI technologies, and support various departments to enhance efficiency.

The Machine Learning Engineer will fine-tune diffusion models, curate datasets, evaluate generated outputs, optimize performance, deploy features, and collaborate with teams to integrate generative vision capabilities into products.

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

Lead payment risk operations, manage chargeback lifecycle, conduct fraud investigations, collaborate with cross-functional teams, and mentor a high-performing team.

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

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

The Field Application Engineer will serve as the primary technical contact for customers, focusing on implementing AI/ML hardware/software solutions, collaborating with teams, and ensuring customer success.

As a Machine Learning Engineer (LLM), you will fine-tune models, design evaluation frameworks, deploy AI features, and collaborate with cross-functional teams to enhance linguistic interaction in financial services.

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

As a Machine Learning Engineer, you will architect and deploy AI models, collaborate with product teams, and optimize AI capabilities for production.

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.