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.

The Technical Consultant will drive process improvements using AI, support strategic client implementations, and innovate payroll solutions through technology.

The Senior Marketing Manager will lead integrated marketing strategies, drive user acquisition, optimize ROI, and manage a cross-functional marketing team while overseeing brand building initiatives.

As a Data Associate, you will capture and label product images, manage datasets, verify data quality, and maintain high labeling accuracy in a fast-paced environment.

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.

The Sr Solution Consultant will lead demonstrations of Workday's AI-powered recruiting solutions, collaborate with sales and clients to optimize talent acquisition processes, and facilitate strategic discussions to enhance hiring workflows.

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

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

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

Develop business strategies for Autonomous Operation in SEA, engage with customers, lead technology discussions, and create sales tools.

The Sales Specialist for Autonomous Operation will develop strategies and lead customer engagement to position Rockwell Automation as a market leader in Autonomous Operations in SEA, overseeing consulting, solution development, and proof of concept.

The Manager, CITO Risk and Controls leads initiatives to assess and mitigate IT, Cyber, and Data risks, ensuring compliance and optimizing risk frameworks. Responsibilities include control testing, automated process improvements, and stakeholder collaboration for audit support.

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

The AI Data Specialist will support AI-generated content by performing data collection, evaluation, annotation, and tagging tasks while adhering to project guidelines.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

The MLOps Engineer deploys ML models, manages cloud infrastructure, develops APIs, and ensures efficient ML solutions through collaboration with data scientists and engineers.

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 an AI Technologist, you'll lead AI strategy and implementation, focusing on AI agent development, automation solutions, predictive analytics, and customer success enhancement across various platforms.

As a Machine Learning Engineer at Bjak, you'll fine-tune state-of-the-art LLMs, engineer prompts, evaluate models, and deploy AI features while collaborating with cross-functional teams.

The Machine Learning Engineer will fine-tune and deploy diffusion models, evaluate AI features, and collaborate with product and engineering teams to integrate generative capabilities into applications.

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.