Top Machine Learning Jobs in Kuala Lumpur
The Service Delivery Senior Engineer plans and performs service activities for customers, ensuring system performance and managing resources. This role involves coordinating with Field Services Engineers, conducting customer meetings on service performance, and providing technical assistance throughout the Maintenance Agreement lifecycle.
As an ML Ops Specialist, you will develop and maintain pipelines for machine learning model training, implement monitoring systems for performance, automate processes for model retraining, and collaborate with teams to optimize models. Ensuring compliance with regulations and researching best practices for ML Ops is also key to the role.
The Senior Data Scientist at Mindvalley will develop scalable machine learning models to solve business challenges, drive AI and ML adoption, and maintain data governance. Responsibilities include problem-solving, innovation in data science, and effective communication of insights to stakeholders.
As a Data Scientist at Coda, you'll utilize statistical modeling and machine learning to extract insights from extensive datasets, collaborate with various teams on analytics projects, and create dashboards for business metrics. You'll focus on optimizing models and interpreting A/B testing results to drive business performance.
Develop and execute AI Chatbot automations, design user-centric conversational experiences, maintain multilanguage chatbot flows, analyze conversation data, and identify areas for improvement and innovation.
As an AI/ML Engineer, you will design, develop, and deploy scalable AI/ML solutions, collaborate with data scientists and stakeholders, implement data preprocessing and model optimization techniques, troubleshoot AI/ML systems, and contribute to reusable components across the organization.
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The Senior Data Scientist will lead the development of AI solutions for SEEK Pass, focusing on document verification and validation. Responsibilities include proposing innovative AI solutions, conducting evaluations, leading projects, and ensuring best practices in AI adoption and continual improvement.
The Data Scientist will engage in forming data problem statements, gathering and validating data, designing data transformation pipelines, developing machine learning algorithms, and collaborating with product managers and business stakeholders to enhance data products.
The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.
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