Machine Learning Engineer Jobs in Kuala Lumpur
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Search Results - Machine Learning Engineer Jobs in Kuala Lumpur
SNSoft Sdn Bhd-Kuala Lumpur
A leading technology firm in Kuala Lumpur is looking for a Machine Learning Engineer to design and deploy innovative machine learning models. This role involves collaborating with teams to enhance customer service and product offerings.
Ideal...
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Cognizant-Kuala Lumpur
Azure Machine Learning Engineer
Location: KL, Malaysia
Experience: 5-14 Years
Role Overview
We are seeking a highly skilled Machine Learning Engineer to design, develop, and deploy machine learning models that solve real-world business problems...
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appcast.io -
Averis-Kuala Lumpur
Averis Federal Territory of Kuala Lumpur, Malaysia
Staff Machine Learning Engineer
• Lead the design, development, and deployment of robust and scalable machine learning models in production environments.
• Collaborate closely with data scientists...
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Unravelcarbon-Kuala Lumpur
ABOUT UNRAVEL CARBON
At Unravel Carbon, we’re on a mission to accelerate the world’s transition to a zero-carbon economy. We’re a team of entrepreneurs, engineers, and climate experts who believe that data and AI are the keys to unlocking...
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appcast.io -
MoneyLion-Kuala Lumpur
ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!
We are looking for a Machine Learning Engineer who...
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NielsenIQ-Kuala Lumpur
A leading consumer intelligence company in Kuala Lumpur seeks an experienced Senior Machine Learning Engineer to build and scale machine learning systems. The role involves transforming innovative ML research into production-ready solutions...
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Comfort Works-Kuala Lumpur
The Role:
As a Machine Learning Developer at Comfort Works, you will be at the forefront of creating an intelligent system that identifies various furniture shapes and models from images and collaborating in developing our overarching...
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appcast.io -
Avanade-Kuala Lumpur
for the engineering team.
Qualifications
Required Skills & Experience
8+ years of experience in machine learning, data science, or MLOps, with at least 4+ years focused specifically on the
Databricks Lakehouse Platform .
Expert proficiency in
Python
and
PySpark/Scala...
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Glints-Kuala Lumpur
Machine Learning Engineer
Glints, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
We are seeking a Machine Learning Engineer to design, finetune, and implement AI models that power compliance intelligence for our RegTech Client in South...
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Luxoft Malaysia-Kuala Lumpur
A global technology services firm in Kuala Lumpur is seeking an experienced computer vision engineer. You will work closely with engineers to develop image processing algorithms and integrate machine learning into computer vision functions...
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Unravel Carbon-Kuala Lumpur
About the job Machine Learning Engineer - Kuala Lumpur
Machine Learning Engineer
at Unravel Carbon
ABOUT UNRAVEL CARBON
At Unravel Carbon, we're on a mission to accelerate the world's transition to a zero-carbon economy. We're a team...
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Thakral One-Kuala Lumpur
Location: Malaysia
The Opportunity.
We are seeking a Machine Learning Engineer to join a large-scale data transformation program for a major telecommunications client under a leading global consulting firm.
This role is responsible for model...
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appcast.io -
Talentbook Solutions-Kuala Lumpur
A leading technology firm is urgently seeking a Staff Software Engineer specializing in Machine Learning and DevOps. Based in Kuala Lumpur, this role requires the ability to work EMEA hours and expertise in developing MLOps pipelines.
Candidates...
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Thakral One-Kuala Lumpur
A consulting and technology services firm in Kuala Lumpur is seeking a Machine Learning Engineer to enhance a major telecommunications client's data transformation efforts. Responsibilities include maintaining and optimizing machine learning models...
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appcast.io -
SNSOFT SDN BHD-Kuala Lumpur
developments in machine learning and AI to continuously improve our technology stack.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Experience: Demonstrated at least 3 years...
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