394 AI Academy jobs in Malaysia

Overview

Machine Learning Engineer at HCLTech, Kuala Lumpur, Malaysia. This role focuses on technical engineering services for digital projects, cloud initiatives, cloud migrations, system expansions, refits, and cloud integrations with new and existing systems.

• Design, present, develop, and implement end-user or enterprise cloud services of significant complexity according to customer requirements, global standards, and security standards.
• Provide consultancy for internal and client teams; act as a key person for projects and initiatives (e.g., enabling new cloud services (AWS & Azure), service improvement, operations excellence).
• Collaborate daily with global team members and other IT teams to implement new capabilities.
• Implement and maintain high-quality documentation.

• Familiarity with Infrastructure as Code implementation is a plus.
• Certification in Agile methodologies (preferably Scrum) is a plus.
• Understanding of CI/CD is a plus.
• Expertise in Microservice Architecture.
• Valid Certification in AWS and/or Azure.
• Expertise managing AWS IAM and Azure SPN.
• Expertise in System design and Cloud Automation.
• Experience in system operation, application support or consulting with a focus on system/application server support & administration.
• Experience with Linux system administration and troubleshooting of system or network issues.
• Experience with AWS, Azure and OpenShift administration.
• Experience with Terraform Enterprise is a plus.
• English environment is mandatory; technical writing is an advantage.
• Experience with enterprise systems monitoring; knowledge of Prometheus, Zabbix, or Nagios is a plus.
• Experience with automation tools (Ansible or similar like Puppet or Chef).
• Nice to have: Kubernetes or Docker-based containers.

Mid-Senior level

Full-time

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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
  
  

• 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.
  
  

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

• 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
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at MoneyLion by 2x

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR6,000.00-MYR8,000.00 3 days ago

Federal Territory of Kuala Lumpur, Malaysia 15 hours ago

Petaling Jaya, Selangor, Malaysia 2 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Petaling Jaya, Selangor, Malaysia 3 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago

Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 9 hours ago

Federal Territory of Kuala Lumpur, Malaysia 2 days ago

Petaling Jaya, Selangor, Malaysia 2 months ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 hours ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago

Bangsar South, Federal Territory of Kuala Lumpur, Malaysia 3 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia $2,000.00-$,000.00 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2,000.00- 5,000.00 1 week ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago

Federal Territory of Kuala Lumpur, Malaysia 1 day ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR96,000.00-MYR144,000.00 6 days ago

Petaling Jaya, Selangor, Malaysia 2 months ago

Petaling Jaya, Selangor, Malaysia 3 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 19 hours ago

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Description:

Mission:

• A key technical engineering service for all digital projects, including the new cloud brokering initiatives, cloud migration, system expansion, system refits, and cloud integrations with new and existing system.
• Design, present, develop and implement end-user or enterprise Cloud Service of significant complexity according to customer requirements in accordance with global standards and in line with Security standard.
• Consultancy for internal and client teams and key person for projects and initiatives (e.g. enabling new cloud service (AWS & Azure), service improvement, operations excellence, etc.).
• Collaborate daily with global team members and other IT teams to implement new capabilities.
• Implement and maintain high quality documentation.

Technical Expertise:

• Familiarity in Infrastructure as Code implementation is a plus.
• Certification in Agile methodologies (preferably scrum) is a plus.
• Understanding on CI/CD is a plus.
• Expertise on Microservice Architecture.
• Valid Certification in AWS and/or Azure.
• Expertise managing AWS IAM and Azure SPN.
• Expertise on System design.
• Expertise in Cloud Automation.
• Confirmed in system operation, application support or consulting role, with a focus on system/application server support & administration.
• Expertise on Linux sysadmin, familiarity at troubleshooting system or network issues.
• Expertise on AWS, Azure and Openshift administration.
• Expertise in Terraform Enterprise is a plus.
• English environment is mandatory. Technical writing is an advantage.
• Expertise with enterprise systems monitoring, knowledge of Prometheus, Zabbix, or Nagios is a plus.
• Expertise on automation (Ansible or similar tools like Puppet or Chef).
• Nice to have: Expertise with Kubernetes or Docker-based containers.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Information Technology

Industries: IT Services and IT Consulting and Software Development

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 Scientist to help shape the future of our organization’s technological advancements and push the boundaries of what is possible with machine learning in our industry. This position is designed for a passionate individual with a deep interest in machine learning, AI and data driven solutions.

As a Machine Learning Scientist in MoneyLion, you will be at the forefront of driving innovation and efficiency across the organization. In this role, you will act as the bridge to close the gap between complex machine learning technologies and practical business applications. You will be pivotal in identifying, developing and implementing machine learning strategies, translating them into tangible solutions that have a direct impact on our business operations and strategic goals. You will be expected to keep up with the latest developments in AI and machine learning, ensuring that the business stays ahead of the curve in leveraging these technologies.

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.

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 werenot selected, please re-apply after 6 months.*

We valuegrowth-minded andcollaborative people with highlearning agility who embody our core values ofteamwork, customer-first andinnovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

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.

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

• Competitive salary packages and bonuses

Please note : This position is open to Malaysian citizens only, due to operational and regulatory requirements.

About Us:

POSable is a leading provider of innovative retail solutions, dedicated to helping our clients transform their data into actionable insights. With a strong focus on the retail sector, we pride ourselves on delivering top-notch business intelligence services that drive growth and operational efficiency.

With the integration of AI technology, we are pushing the boundaries of innovation to enhance our products' Unique Selling Proposition (USP). We are looking for a highly skilled, hands-on and passionate 
Machine Learning Engineer / Developer
 to join our dynamic team. This role is an exciting opportunity to build high-performing ML models and apply AI-driven analytics in the retail industry.

Job Description:

As a Machine Learning Engineer / Developer
, you will be responsible for designing, developing, and deploying AI/ML models that drive valuable insights for our retail and POS solutions. You will work closely with data engineers, BI specialists, and business teams to enhance our product offerings, leveraging AI to optimize decision-making for our customers.

Key Responsibilities:

• Design, develop, and optimize machine learning models with a proven track accuracy rate of 
  95% or higher
  .
• Work with 
  large datasets
   to clean, preprocess, and structure data for AI/ML applications.
• Build and maintain scalable machine learning pipelines that can be deployed in a 
  cloud
   environment.
• Optimize models for performance, efficiency, and scalability in production.
• Develop AI-driven insights and predictive analytics for the retail industry, aligning models with business needs.
• Implement machine learning algorithms for demand forecasting, customer segmentation, recommendation systems, fraud detection, and other AI applications.
• Collaborate with data engineers, software developers, and BI teams to integrate ML models into existing systems.
• Monitor and maintain model performance, retraining as necessary to ensure optimal accuracy.
• Stay up-to-date with the latest advancements in AI, ML, and data analytics to drive continuous innovation.

Skills & Qualifications:

• 2-3+ years
   of hands-on experience in developing, training, and deploying high-performing machine learning models.
• Strong proficiency in 
  Python
   and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
• Experience working with 
  data frames, feature engineering,
  and 
  data preprocessing
   for ML models.
• Proven track record of optimizing ML models for performance, accuracy, and efficiency.
• Experience in deploying models on cloud platforms such as 
  Azure, Snowflake, AWS, or GCP
  .
• Solid understanding of 
  business analytics
   and 
  retail industry data
  , with the ability to translate data insights into business value.
• Experience working with structured and unstructured data, handling real-time and batch processing.
• Knowledge of 
  MLOps
   practices and 
  CI/CD
   pipelines for machine learning.
• Strong problem-solving and analytical skills with the ability to work independently and in a team.
• Experience with any 
  Azure ML, AWS SageMaker, or GCP AI Platform
  .
• Background in building recommender systems, classification, fraud detection models, or demand forecasting in the retail industry.
• Familiarity with BI tools like 
  Power BI
   is a plus.
• Understanding of deep learning and NLP techniques.

Why Join Us:

• Opportunity to be part of a forward-thinking team integrating 
  AI into POS and BI solutions
  .
• Innovative Environment:
   Work with a team of passionate data professionals dedicated to innovation and excellence.
• Professional Growth:
   Opportunities for continuous learning, development, and career advancement.
• Impactful Work:
   Make a significant impact by helping retail clients harness the power of their data to drive business success.
• Competitive Compensation:
   Attractive salary package with benefits including health insurance, retirement plans, and more.

POSable is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

If you are passionate about AI, machine learning, and retail analytics and want to be part of an exciting AI-powered transformation, we'd love to hear from you Please submit your resume and a portfolio of your past ML projects to us.

Join us in shaping the future of AI-driven retail analytics

DÜRR DENTAL South East-Asia SDN BHD is a full sales subsidiary of the German Dürr Dental SE. As technology leader in its field of business, the Dürr Dental group with its more than 1.350 employees develops, produces and sells system solutions and services for the health sector with an annual business turnover of more than € 374 million with customers in 174 countries in 2024 all over the world.

Your Responsibilities:

• design, build and maintain scalable, secure and reliable ML infrastructure and pipelines
• collaborate with data scientists to train and integrate machine learning models into production-ready services
• ensure reproducibility, versioning, monitoring and governance of models in compliance with internal and external standards
• focus on business needs, evaluate via data driven approach
• foster a culture of collaboration and continuous learning within the team

Requirements:

• bachelor's or master's degree in a STEM field (Science, Technology, Engineering, Mathematics)
• proven experience with ML Ops tools and principles, especially in production environments
• hands-on experience with DevOps and container technologies, such as Git, Docker/Podman, Kubernetes
• proficiency in cloud computing and CI/CD pipelines, such as AWS, Azure, Google Cloud
• proficiency in REST API design, development and security
• experience with machine learning frameworks, familiarity with computer vision is a plus
• understanding of EU/US regulations on medical devices and AI is beneficial
• experience in handling large datasets and/or building data lakes is an asset
• knowledge of design principles, usability best practices, and accessibility standards is a plus
• strong problem-solving skills and attention to detail
• experience with agile methodologies and modern development workflows
• excellent written and verbal communication abilities
• excellent teamwork and collaboration skills

Our Offer:

• opportunity to work with the latest technologies and tools
• creating a modern cloud-based AI solution
• international team environment
• competitive salary
• hybrid work week
• modern office environment

DÜRR DENTAL South East-Asia SDN BHD

Selangor, Malaysia

Transform Language Models into Real-World Applications
At Bjak, we're building AI systems that reach millions across Southeast Asia. Our Machine Learning team is at the forefront of text generation, captioning, moderation, and chat-like interactions, deploying LLMs into real-world products that must be fast, safe, and aligned with our brand voice.

This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You'll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.

Why This Role Matters

We are scaling LLM capabilities that power how people interact with financial services. As a Machine Learning Engineer (LLM), you'll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

What You'll Do

• Fine-tune & Adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma) for Bjak's applications.
• Engineer Prompts & Curate Data - Craft prompts and datasets that reflect tone, brand voice, and safety.
• Evaluate Models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
• Deploy & Monitor – Scale models into production with performance optimization and monitoring for drift.
• Collaborate & Deliver – Partner with product, engineering, and design teams to launch user-facing AI features.

You'll Thrive Here If You.

• Treat every problem as your own, regardless of scope or title.
• Enjoy switching hats - builder, debugger, architect, and product thinker when needed.
• Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.
• Stay calm and effective in startup chaos - shifting priorities and building from zero doesn't faze you.
• Bias for speed - you believe it's better to deliver something valuable now than a perfect version much later.
• See feedback and failure as part of growth - you're here to level up.
• Believe "done" beats "perfect," but still care deeply about UX and code quality.
• Show up with humility, hunger, and hustle, and lift others up as you go.

Requirements

• Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).
• Proficiency with PyTorch (preferred) or TensorFlow.
• Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.
• Familiar with evaluation metrics: perplexity, toxicity, relevance.
• Strong software engineering foundations in algorithms, data structures, and clean code practices.

Nice to Have

• Prior work in text generation, moderation, or personalization.
• Experience with RLHF or reinforcement learning in LLMs.
• Contributions to open-source ML projects.

What You'll Get

• Competitive salary and performance-based bonuses
• Flexibility in work arrangement
• High-impact role with visibility across product, data, and engineering
• Flat structure - your work is seen, your ideas are heard
• Fast learning curve and accelerated growth in a mission-driven company
• Cross-border exposure to regional product development

Our Team & Culture
We're a lean, high-performance team that moves fast and holds a high bar. Titles don't matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative. We reward people who think like owners. We value speed, clarity, and relentless ownership. If you're hungry to grow and care deeply about excellence, this is your kind of environment.

About Bjak
BJAK is Southeast Asia's #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we'd love to hear from you.

About Us

iCOMPASS is a Singapore-headquartered regulatory technology company, pioneering next-generation compliance solutions for financial institutions. Our flagship platform combines AI and automation to streamline policy governance, regulatory change management and more. We are building a team of compliance and technology leaders across APAC to drive the next wave of regtech adoption.

About the Role

Who we love to see:

1. Strong mathematical skills - good foundations of linear algebra, matrix, differential algebra, statistics.

2. Strong problem solving and engineering skills.

3. Strong python, C++ or java coder

4. Good knowledge of python tools such as tensorflow, pytorch, numpy, pandas, sklearn, scipy, seaborn

5. Proficient in building deep learning neural network models, large language models, experience with domain adaptation and understanding of responsible AI principles

6. Optional: Published papers in top machine learning or computer vision conferences, ICML/NIPS/CVPR/ICCV

(This role resides in Malaysia with occasional traveling.)

Why Join Us?

• Be part of an ambitious regtech venture transforming how compliance is managed.

• Collaborate with a regional team of compliance experts, technologists, and founders.

• Seek meaningful impact to transform the compliance landscape using AI.

Responsibilities **

• Product Design: Lead the creation of wireframes, mockups, and polished screens for both web and mobile features.

• Animation & Interaction: Develop smooth animations and transitions that enrich the user experience.

• Graphic Assets Production: Design icons, logos, and other visuals that strengthen our brand and guide users.

• Design Consistency: Define, document, and maintain a cohesive style guide and component library across all products.

• User Testing: Conduct usability sessions and gather feedback to refine and improve designs.

• Collaboration: Work closely with the team to turn requirements into intuitive interfaces.

Academic Qualification **

• Diploma or Degree in Multimedia, Information Technology, Computer Science, Graphic Design, or related fields.

Primary Skills **

• Proficient in Figma, Sketch, Adobe XD, or similar tools

• 3+ years in UI/UX or product design

• Skilled in creating animations using Lottie, After Effects, or Rive

• Basic knowledge of HTML, CSS, and JavaScript

• Strong graphic asset design (icons, logos)

• Experience with style guides and design systems

• User testing and feedback incorporation

• Fluent in English and Mandarin

Secondary Skills **

• Familiarity with video and motion editing tools like Premiere Pro or Final Cut Pro

• Experience working in cross-functional teams

• Knowledge of accessibility standards and best practices

• Basic coding or scripting skills beyond HTML/CSS/JS

• Understanding of marketing asset creation

Additional Skills **

• Strong problem-solving and critical thinking

• Attention to detail and high visual standards

• Good time management and ability to meet deadlines

• Adaptability to fast-paced environments

• Effective communication and teamwork skills

Job Types: Full-time, Permanent

Pay: RM8, RM11,000.00 per month

Benefits:

• Opportunities for promotion
• Professional development

Application Question(s):

• What are the ML frameworks/libraries did you use?
• What are the data analysis and visualization tools did you use?

Experience:

• Machine Learning: 3 years (Preferred)

Language:

• Mandarin (Preferred)

Work Location: In person