76 AI Powered Solutions jobs in Malaysia

Who are we?

CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Port Louis, and others.

CFI is hiring! Make your mark in the online trading industry.

Are you looking to pursue a career in finance? Do you want to work with a dynamic and growing team in the exciting world of online trading and investing? If you answered yes, then we have some amazing opportunities for you!

Job Description:

We are seeking an ML Engineer professional to join our team.

Key Responsibilities

• Design, build, and optimize ML models.
• Develop, test, and deploy AI agents (internal and client-facing) using LLMs and MCP within Databricks.
• Deliver scalable, robust ML and AI solutions that integrate seamlessly with existing systems.
• Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents.
• Ensure data and model quality, integrity, and compliance with best practices.
• Acquire, clean, and analyze data from multiple sources to support ML initiatives.
• Break down complex AI/ML projects into actionable tasks with realistic time estimates.
• Collaborate with cross-functional teams (data engineering, front-end, business analysis, project management, product management) to ensure smooth delivery.
• Maintain clear documentation, project milestones, and deliverables.
• Foster a collaborative, innovative environment and contribute to knowledge sharing.
• Uphold and help establish coding standards and code review processes for AI/ML projects.

Qualifications

• Advanced Python skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras) to support traditional ML frameworks (ie classification, regression, boosting, clustering, etc).
• Proven experience developing and deploying LLM-powered agents with multi-step reasoning.
• Hands-on experience with RAG architectures and MCP.
• Strong proficiency in Databricks for ML workflows, model training, and deployment.
• Experience with NLP, transformers, and predictive analytics models.
• Strong SQL skills and familiarity with both relational and NoSQL databases.
• Experience with data streaming (Kafka, Flink, or similar).
• End-to-end experience deploying ML models and AI agents to production.
• Familiarity with MLOps practices: model versioning, CI/CD, monitoring, and automated retraining.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Fintech or financial services background strongly preferred.
• Strong foundation in mathematics, statistics, and computer science.
• Excellent communication skills in English

Why join CFI?

• We’re a fast-growing, multinational company
• Competitive salaries and benefits
• Work and learn with industry professions
• Supportive and collaborative environment
• Unlimited opportunities for growth and development

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FINEXUS Group Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Machine Learning Engineer

Location: Kuala Lumpur, Malaysia

Join FINEXUS Group to apply for the Machine Learning Engineer role at FINEXUS Group .

As a Machine Learning Engineer at Finexus Sdn Bhd, you will be responsible for leading and contributing to the development of advanced machine learning models and algorithms to solve complex problems and drive innovation in our field. You will collaborate with cross-functional teams and play a critical role in designing, developing, and implementing machine learning solutions to support our company’s objectives. This is an opportunity to make a significant impact and shape the future of the company’s AI-driven products and services.

Responsibilities

• Contribute to the design, development, and deployment of AI-driven products and solutions.
• Collaborate with cross-functional teams to identify business opportunities and translate them into AI projects.
• Research, evaluate, and adopt state-of-the-art AI technologies to improve existing processes and develop new capabilities. This includes the full ML development technical stack, from Data Science to MLOps.
• Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth.
• Architect scalable and robust AI systems, ensuring performance, reliability, and security.
• Ensure effective communication of technical concepts and project updates to both technical and non-technical stakeholders.
• Contribute to the data security infrastructure that keeps AI development safe, compliant and respecting data privacy laws.

Qualifications

• Master's in Computer Science.
• Knowledge of computer vision and natural language processing (NLP).
• Familiarity with Docker containerization.
• Familiarity with Apache Airflow and mlflow.
• Bachelor's degree in Computer Science, preferably with a focus on Machine Learning.
• Proven experience at least 2 years in AI, machine learning, or related technical roles.
• Strong programming skills in Python and Java.
• In-depth understanding of AI algorithms, neural networks, and deep learning techniques.
• Hands-on experience with designing and implementing AI models and applications.
• Familiar with AI libraries such as Tensorflow, PyTorch, OpenCV, kornia, scikit-learn, ONNX etc.
• Familiar with relational DBs e.g PostgreSQL database.
• Familiar with version control systems such as Git and SVN.
• Familiar with Python frameworks such as FastAPI.
• Familiar with Linux operating systems.

Job details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology

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On our Perception team , you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What you’ll be doing:

• Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment.
• Productionize and deploy our large perception model on edge devices with optimization techniques in mind (e.g. pruning, quantization)
• Optimize training with large data and distributed machines
• Collaborate with cross-functional teams to implement scalable solutions and improvements
• Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.

What We’re Looking for:

• Bachelor’s Degree. Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• 1+ years of experience with deep learning frameworks such as Pytorch
• Strong programming skills in C++, TensorRT, and/or CUDA programming
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods

Bonus Points:

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry

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MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About The Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride 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 is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.

Key Responsibilities

• Able to frame and contextualize machine learning problems
• Research, build and design machine learning systems and models that can solve business problems
• Assess, understand and analyse data to select appropriate datasets for data modelling and testing
• Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products
• Design, execute and monitor machine learning model experiments and metrics
• Perform statistical analysis to evaluate and prove business impact of modelling improvements
• Automate, architect and orchestrate machine learning processes and pipelines
• Monitor, optimise and maintain machine learning solutions in production
• Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion
• Work with MLOps Engineers and Data Scientists to improve systems designs and architectures
• Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems
• Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle
  
  

About You

• Strong mathematical, statistical or actuarial background
• Good programming knowledge and software engineering skills
• Must have hands on experience in machine learning, predictive analytics and statistical modelling
• Experience developing and deploying machine learning models in production.
• Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints
• Proficient in Python and SQL
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM
• Preferably have experience in building machine learning systems and workflows
• Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML
• Preferably familiar and have experience with AWS, Docker, Kubernetes.
• Solid communication and collaboration skills.
  
  

What's Next.

After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)
  
  

*If you’ve already sent in your application for this position and were not selected, please reapply after 6 months.*

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours
  
  

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology

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Overview

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia — We are hiring for a Machine Learning Scientist role at MoneyLion . The Kuala Lumpur office is the technology powerhouse and leads innovative initiatives in fintech.

About The Role

We are looking for a Machine Learning Scientist to help shape the future of MoneyLion’s technology and push the boundaries of what is possible with machine learning in the financial-services industry. This role is designed for a passionate individual with a deep interest in machine learning, AI and data-driven solutions.

Key Responsibilities

• Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization
• Develop and experiment with innovative machine learning models and algorithms to solve complex problems
• Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools
• Communicate complex ideas effectively and translate technical solutions into business strategies
• Monitor and optimize existing algorithms for improved performance and efficiency
• Evaluate the effectiveness of machine learning models offline and online with well-defined metrics
• Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services
• Stay at the forefront of technological advancements in machine learning and AI
• Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders

About You

• Strong mathematical, statistical or related quantitative skills
• Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development
• Demonstrated ability to adapt new technologies and learn quickly
• Strong analytical and problem solving skills, along with creativity and curiosity
• Proficient in programming languages such as Python and SQL
• Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM
• Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems
• Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders
• Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow
• Preferably familiar with developing and deploying machine learning models in production
• Commitment to continuous learning and staying informed about the latest industry trends

What’s Next

What happens after you submit your application:

• Online Technical Test
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment — Hiring Manager (Virtual or face-to-face)

Note: If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork , customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Other

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iSoftStone Federal Territory of Kuala Lumpur, Malaysia

Machine Learning Engineer iSoftStone Federal Territory of Kuala Lumpur, Malaysia

About Us:

A leading global technology group , renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, mobile gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.

Job Description

Oversee the full lifecycle of knowledge systems – design, develop, iteratively optimize, and maintain knowledge architectures to ensure accuracy, efficiency, and scalability in knowledge flow and application.

Build and maintain data mining platforms – lead platform development to guarantee stable operation; provide technical development and support for online campaigns, ensuring seamless execution and user experience.

Develop algorithms and train AI models – design and implement high-performance algorithms for data processing to streamline workflows; participate in AI model training, tuning, and optimization to enhance performance and alignment with business objectives.

Job Requirements

Solid Python/C++ development experience, familiar with multi-threaded programming, memory management, design patterns and Linux development environment, strong understanding of Python/C++ syntax features, and experience in high concurrency program development.

Familiar with machine/deep learning theory and experience in training deep learning models.

Familiar with common algorithms in CV/NLP/Recommendation/SNS is preferred.

Familiar with crawler technology.

Understanding of the internal implementation principles of TensorFlow/PyTorch is preferred.

Experience in distributed systems, design capability and debugging ability of complex system software is preferred.

Excellent communication skills in both English and Chinese (Mandarin).

Seniority level

Associate

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting, IT System Custom Software Development, and IT System Design Services

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Who are we? CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Port Louis, and others. CFI is hiring! Make your mark in the online trading industry. Are you looking to pursue a career in finance? Do you want to work with a dynamic and growing team in the exciting world of online trading and investing? If you answered yes, then we have some amazing opportunities for you! Job Description: We are seeking an ML Engineer professional to join our team. Key Responsibilities Design, build, and optimize ML models. Develop, test, and deploy AI agents (internal and client-facing) using LLMs and MCP within Databricks. Deliver scalable, robust ML and AI solutions that integrate seamlessly with existing systems. Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents. Ensure data and model quality, integrity, and compliance with best practices. Acquire, clean, and analyze data from multiple sources to support ML initiatives. Break down complex AI/ML projects into actionable tasks with realistic time estimates. Collaborate with cross-functional teams (data engineering, front-end, business analysis, project management, product management) to ensure smooth delivery. Maintain clear documentation, project milestones, and deliverables. Foster a collaborative, innovative environment and contribute to knowledge sharing. Uphold and help establish coding standards and code review processes for AI/ML projects. Qualifications Advanced Python skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras) to support traditional ML frameworks (ie classification, regression, boosting, clustering, etc). Proven experience developing and deploying LLM-powered agents with multi-step reasoning. Hands-on experience with RAG architectures and MCP. Strong proficiency in Databricks for ML workflows, model training, and deployment. Experience with NLP, transformers, and predictive analytics models. Strong SQL skills and familiarity with both relational and NoSQL databases. Experience with data streaming (Kafka, Flink, or similar). End-to-end experience deploying ML models and AI agents to production. Familiarity with MLOps practices: model versioning, CI/CD, monitoring, and automated retraining. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Fintech or financial services background strongly preferred. Strong foundation in mathematics, statistics, and computer science. Excellent communication skills in English Why join CFI? We’re a fast-growing, multinational company Competitive salaries and benefits Work and learn with industry professions Supportive and collaborative environment Unlimited opportunities for growth and development

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Overview MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia — We are hiring for a

Machine Learning Scientist

role at

MoneyLion . The Kuala Lumpur office is the technology powerhouse and leads innovative initiatives in fintech.

About The Role We are looking for a

Machine Learning Scientist

to help shape the future of MoneyLion’s technology and push the boundaries of what is possible with machine learning in the financial-services industry. This role is designed for a passionate individual with a deep interest in machine learning, AI and data-driven solutions.

Key Responsibilities

Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization

Develop and experiment with innovative machine learning models and algorithms to solve complex problems

Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools

Communicate complex ideas effectively and translate technical solutions into business strategies

Monitor and optimize existing algorithms for improved performance and efficiency

Evaluate the effectiveness of machine learning models offline and online with well-defined metrics

Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services

Stay at the forefront of technological advancements in machine learning and AI

Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders

About You

Strong mathematical, statistical or related quantitative skills

Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development

Demonstrated ability to adapt new technologies and learn quickly

Strong analytical and problem solving skills, along with creativity and curiosity

Proficient in programming languages such as Python and SQL

Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM

Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems

Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders

Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow

Preferably familiar with developing and deploying machine learning models in production

Commitment to continuous learning and staying informed about the latest industry trends

What’s Next What happens after you submit your application:

Online Technical Test

Take-Home Assessment

Interview & Discussion of Take-Home Assessment — Hiring Manager (Virtual or face-to-face)

Note: If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

What We Value We value

growth-minded

and

collaborative

people with high

learning agility

who embody our core values of

teamwork ,

customer-first

and

innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion Our generous benefits package includes:

Competitive salary packages

Comprehensive medical, dental, vision and life insurance benefits

Wellness perks

Paid parental leave

Generous Paid Time Off

Learning and Development resources

Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level

Entry level

Employment type

Full-time

Job function

Other

#J-18808-Ljbffr

FINEXUS Group Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Machine Learning Engineer

Location: Kuala Lumpur, Malaysia Join FINEXUS Group to apply for the

Machine Learning Engineer

role at

FINEXUS Group . As a

Machine Learning Engineer

at Finexus Sdn Bhd, you will be responsible for leading and contributing to the development of advanced machine learning models and algorithms to solve complex problems and drive innovation in our field. You will collaborate with cross-functional teams and play a critical role in designing, developing, and implementing machine learning solutions to support our company’s objectives. This is an opportunity to make a significant impact and shape the future of the company’s AI-driven products and services. Responsibilities

Contribute to the design, development, and deployment of AI-driven products and solutions. Collaborate with cross-functional teams to identify business opportunities and translate them into AI projects. Research, evaluate, and adopt state-of-the-art AI technologies to improve existing processes and develop new capabilities. This includes the full ML development technical stack, from Data Science to MLOps. Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth. Architect scalable and robust AI systems, ensuring performance, reliability, and security. Ensure effective communication of technical concepts and project updates to both technical and non-technical stakeholders. Contribute to the data security infrastructure that keeps AI development safe, compliant and respecting data privacy laws. Qualifications

Master's in Computer Science. Knowledge of computer vision and natural language processing (NLP). Familiarity with Docker containerization. Familiarity with Apache Airflow and mlflow. Bachelor's degree in Computer Science, preferably with a focus on Machine Learning. Proven experience at least 2 years in AI, machine learning, or related technical roles. Strong programming skills in Python and Java. In-depth understanding of AI algorithms, neural networks, and deep learning techniques. Hands-on experience with designing and implementing AI models and applications. Familiar with AI libraries such as Tensorflow, PyTorch, OpenCV, kornia, scikit-learn, ONNX etc. Familiar with relational DBs e.g PostgreSQL database. Familiar with version control systems such as Git and SVN. Familiar with Python frameworks such as FastAPI. Familiar with Linux operating systems. Job details

Seniority level: Entry level Employment type: Full-time Job function: Engineering and Information Technology

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