296 AI & Emerging Technologies jobs in Malaysia

At PayNet, we’re on a mission to accelerate Malaysia’s journey toward a cashless society and greater financial inclusion. As a Data Scientist, you’ll play a pivotal role in uncovering insights that drive strategic decisions, optimize performance, and shape the future of digital payments in the country. Your work will directly influence how individuals and merchants engage with cashless solutions, making a real impact on the nation’s financial ecosystem.

YOUR JOURNEY WITH US

As a Data Scientist at PayNet, you will:

Segment Customers & Merchants with Precision

• Develop advanced segmentation models using demographic, geographic, and behavioral data to uncover trends and drive targeted strategies that promote cashless adoption.

Ensure Data Integrity & Readiness

• Champion data quality by identifying anomalies, validating inconsistencies, and collaborating across teams to ensure our transaction data is robust and analysis-ready.
• Investigate fluctuations in transaction volumes and sizes, uncovering the impact of marketing, pricing, and seasonality. Your insights will guide national strategies for digital payment growth.

Enrich Data with External Intelligence

• Analyze macroeconomic trends, regulatory shifts, and industry dynamics. Integrate external datasets to enhance our analytical capabilities and forecasting accuracy.

WHAT WE VALUE AT PAYNET

Curiosity & Innovation

• We thrive on asking the right questions and exploring new ways to solve complex problems.
• We believe in the power of teamwork and clear, impactful storytelling through data.

Integrity & Excellence

• We uphold the highest standards in data quality, analysis, and ethical decision-making.

BENEFITS OF JOINING PAYNET

At PayNet, we don’t just offer a job—we offer a thriving career in a purpose-driven organization. Here’s what you can look forward to:

• Attractive Salary Packages Based on Performance
• 16% Employer EPF Contribution
• Monthly Wellness Benefit
• Monthly Childcare Allowance for Children Under 7
• Dental and Optical Coverage

QUALIFICATIONS

We’re looking for someone who brings both technical expertise and strategic thinking:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
• 5+ years of experience in data science or analytics, with a strong track record of delivering actionable insights.
• Proficiency in Python, SQL, and data science libraries.
• Experience with ML/LLM techniques for data quality and feature enrichment.
• Strong stakeholder management and presentation skills.
• Familiarity with cloud platforms like AWS, GCP, or Azure.

Embark on an exciting career journey with Payments Network Malaysia Sdn Bhd (PayNet), the heartbeat of Malaysia's financial markets!

As the national payments network and a pivotal infrastructure for Malaysia’s dynamic financial markets, PayNet is a linchpin in advancing the nation’s digital economy.

Our comprehensive suite of retail payment solutions - encompassing DuitNow (QR and P2P), JomPAY (Bill Payments), FPX (Online), MyDebit (Domestic Debit), MEPS (ATM), and IBG (Interbank GIRO) - not only offer wide accessibility but are seamlessly integrated into the fabric of daily life in Malaysia. These services have revolutionised the way Malaysians handle financial transactions, marking a significant leap in consumer convenience and efficiency.

At PayNet, our focus is on providing a safe, efficient, and innovative payments system. We are dedicated to improving and managing payment services that meet the evolving needs of consumers and businesses. Our work ensures the stability and reliability of Malaysia’s financial system, supporting the growth of the economy.

Learn more about our work and how we are contributing to Malaysia's financial future at

Join us in embracing digital payments and advancing Malaysia's financial landscape.

We are seeking a skilled professional to join our team in the field of machine learning and computer vision within a manufacturing environment. The successful candidate will be responsible for:

1. Collaborating with Cross-Functional Teams: Working closely with operation teams to develop, deploy, and maintain machine learning models and computer vision algorithms to enhance manufacturing efficiency, productivity, and decision-making.
2. Design and Implementation: Designing and implementing machine learning models and computer vision systems for quality control, defect detection, and process optimization.
3. Application Development: Developing user-friendly applications to facilitate deployment and utilization of machine learning models and computer vision systems in production.
4. Testing and Validation: Conducting rigorous testing and validation to ensure accuracy, reliability, and effectiveness in real-world scenarios.
5. Documentation: Creating and maintaining comprehensive documentation for models, systems, and deployment processes.
6. Project Updates: Participating in team meetings, providing updates, sharing insights, and collaborating on problem-solving.
7. Timely Delivery: Ensuring on-time completion of tasks and projects.
8. Quality Assurance: Meeting and exceeding management and peers' expectations regarding service quality.

• Degree in Computer Science, Data Science, Electrical Engineering, or related fields.
• Strong programming skills in Python, R, or relevant languages.
• Experience with frameworks like TensorFlow, PyTorch, or Keras.
• Familiarity with computer vision libraries such as OpenCV.
• Knowledge of application development and deployment tools.
• Understanding of data manipulation tools like Pandas and NumPy.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively.
• Strong communication skills for conveying technical concepts effectively.

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

PLEASE APPLY THROUGH THIS LINK:

DO NOT APPLY BELOW

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn PDFs, books, Google Docs, news articles, and websites into audio, helping them read faster, more, and remember more. Our products include the iOS app, Android App, Mac App, Chrome Extension, and Web App. Speechify was named Chrome Extension of the Year by Google and App of the Day by Apple.

Today, nearly 200 people work globally in a 100% distributed setting. Our team includes frontend and backend engineers, AI research scientists, and professionals from Amazon, Microsoft, Google, Stanford, Stripe, Vercel, Bolt, and various startups. We value strategic thinkers, those who thrive in fast environments, and individuals passionate about creating delightful user experiences.

We operate as a flat organization, encouraging leadership through technical excellence and results. We prioritize work ethic, communication, and a winning mindset.

Our interview process involves several technical rounds, aiming to complete within one week.

As Speechify expands, our AI team seeks a Senior Backend Engineer to ensure scalable infrastructure, optimize product flows, and build resilient systems. If you're passionate about strategy, high-paced work, and taking ownership, we want to hear from you.

• Develop state-of-the-art voice cloning technologies.
• Implement low-latency, cost-effective text-to-speech solutions.

• Proven backend development experience with Python.
• Experience with GCP and knowledge of AWS, Azure, or other cloud platforms.
• Ability to ideate and implement efficiently, prioritizing tasks effectively.
• Experience with Docker and containerized deployments.
• Proficiency in deploying high-availability applications on Kubernetes.
• Preferred: Experience deploying NLP or TTS models to production.

• A dynamic environment where your contributions influence the company's direction.
• A team that values innovation, intuition, and drive.
• Autonomy to foster focus and creativity.
• The chance to impact a revolutionary industry.
• Competitive pay, a welcoming culture, and a strong asynchronous work environment.
• The opportunity to work on products that positively impact lives, especially those with learning differences like dyslexia and ADD.
• Work at the intersection of AI and audio in a rapidly evolving field.

Interested? Tell us about yourself and why you're interested when you apply. Please include links to your portfolio and LinkedIn.

Know someone perfect for this role? Refer them!

Speechify is committed to diversity and inclusion. We do not discriminate based on race, nationality, gender, gender identity, sexual orientation, veteran status, disability, age, or other protected categories.

About Snappymob Malaysia
Snappymob builds top-tier custom iOS, Android, and web applications that deliver seamless user experiences and scalability. From startups to enterprises, we turn ideas into functional, user-friendly solutions. Check us out at snappymob.com !

Key Responsibilities

Design, prototype, and implement ML models for financial applications, including predictive analytics, risk modeling, and trading algorithms.

Identify, collect, clean, and preprocess structured and unstructured financial data from multiple sources, including web data extraction.

Build and optimize training pipelines for experimentation and production deployment. Work with engineers to deploy and scale ML models in real-world environments.

Fine-tune and optimize foundational AI models, including LLMs, RAG, and agent-based applications to enhance decision-making and automation.

Work closely with cross-functional teams, including software engineers, data scientists, and business stakeholders, to translate business needs into effective ML solutions.

Define the data science roadmap and establish best practices for model development, versioning, and deployment. Stay updated on industry trends and emerging technologies.

What would you need?

• Ability to translate complex financial and business challenges into ML-driven solutions and communicate findings effectively.
• Solid understanding of financial markets, algorithmic trading, and risk management strategies.
• Experience in classical ML models, inference systems, and fine-tuning generative AI models.
• Strong skills in data scraping, extraction, transformation, and pipeline development for large-scale datasets.
• Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.
• Strong coding ability with experience in Git, CI/CD, Docker, and Kubernetes.
• Familiarity with MLflow, Kubeflow, Airflow, and cloud-based ML services for model management and deployment.
• Shown a track record of being able to execute with minimal high-level guidance from C-levels.

Nice to have:

Experience with Spark, Dask, Snowflake, and BigQuery for large-scale data handling.

Knowledge of Graph Neural Networks (GNNs) and time-series forecasting for financial applications.

Experience with LLMs, RAG, LangChain, LlamaIndex, and AI-driven automation.

Familiarity with AWS, GCP, or Azure for scalable ML model deployment.

Opportunity to shape a new business: Ever wonder what it takes to launch a start-up? Heres your chance.

Employer-Sponsored Work Visa: Backing your relocation with full visa sponsorship.

Innovative Projects: Work on exciting projects that push your skills further.

Accessible Location: Conveniently located near the LRT for easy commuting.

Career Growth: Mentorship, and continuous learning.

Flexible Work: Enjoy a better work-life balance with flexible options: 2 days WFH, 3 days in-office, and flexible working hours.

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Other locations: Primary Location Only

Date: 24 Jul 2025

Requisition ID: 1499576

EY’s AI & Data team is growing and seeking exceptional talent at multiple levels – from Senior Associate to Senior Managers – to help shape the future of data science and artificial intelligence in business. As part of our dynamic, multidisciplinary team, you'll be instrumental in designing and implementing AI-driven solutions, including Generative AI (GenAI) , for clients across industries. Whether you are a technical expert or a strategic leader, this role offers the opportunity to drive innovation, create real-world impact, and build the future of intelligent enterprises.

We are seeking individuals who are passionate about solving complex business problems using AI/ML, including GenAI, and who are experienced in leading data science engagements from strategy to implementation. This is a full-time basis role and is based in our Kuala Lumpur, Malaysia office

Key Responsibilities:

Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.

Collaborate with stakeholders to understand business problems and translate them into analytical solutions.

Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.

Guide clients in the adoption of AI/ML strategies, including the responsible use of GenAI in business processes.

Build and manage reusable ML pipelines and support MLOps practices to operationalize models.

Mentor junior data scientists and contribute to capability building within the team.

Stay current with developments in AI/ML and GenAI technologies, tools, and best practices.

Present findings and insights in a clear, compelling way to business and technical audiences.

Skills and Attributes for Success:

Strong analytical and problem-solving skills with the ability to think strategically and act tactically.

Proficiency in Python or R, with hands-on experience using libraries such as Scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.

Experience building and fine-tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers.

Solid understanding of NLP, deep learning, and data modeling techniques.

Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).

Excellent communication and stakeholder engagement skills.

To qualify for the role, you must have:

A Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. A PhD is a plus.

For Senior Associate: Minimum 2+ years of hands-on experience in data science or AI projects.

For Manager to Senior Managers: 6+ years of experience, with a proven track record of project leadership, client engagement, and team management.

Demonstrated experience applying both traditional ML and GenAI in real-world business use cases.

Experience working with large language models (LLMs) and/or vector databases is a strong advantage.

Ideally, you’ll also have:

Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty).

Experience with responsible AI practices, explainability, and AI ethics.

Previous consulting or client-facing experience, ideally in cross-industry engagements.

What we look for

• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Select how often (in days) to receive an alert:

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

NEXLAW.AI is a pioneering legal AI company dedicated to revolutionizing the legal industry through intelligent automation and machine learning. Based in San Francisco, California, with global operations and a focus on providing "Litigation & Dispute Resolution" AI solutions, NEXLAW.AI develops innovative tools such as TrialPrep, NeXa - Legal Assistant and ChronoVault to assist legal professionals and individuals in optimizing legal research, streamlining Trial Preparation.

Role: Machine Learning Engineer

Location: Puchong, Malaysia

Salary Range: MYR 4,000 - 7,000 per month

Position Overview

We are seeking a highly motivated and detail-oriented Machine Learning Engineer to join our fast-paced, high-performing engineering team. The ideal candidate is passionate about artificial intelligence and has a strong academic foundation, particularly in Natural Language Processing (NLP) and Python development. This role plays a key part in building and improving our AI-powered legal technology platform, with a focus on data preparation, model training, and deploying intelligent solutions that support legal professionals worldwide.

Responsibilities

• Model Development and Implementation: Design, develop, and deploy machine learning models and algorithms tailored for legal applications, including Natural Language Processing (NLP) tasks such as text summarization, contract analysis, and legal document generation.
• Data Preparation and Feature Engineering: Collaborate with data scientists and legal experts to preprocess, clean, and analyze large legal datasets, ensuring data quality and relevance for model training.
• Model Optimization and Evaluation: Evaluate the performance of machine learning models, fine-tune hyperparameters, and implement strategies to improve accuracy, efficiency, and scalability.
• Infrastructure and Deployment: Work closely with software engineers to integrate ML models into production systems, managing and maintaining the infrastructure necessary for scalable and reliable AI solutions.
• Research and Innovation: Stay abreast of the latest advancements in machine learning and AI, applying innovative techniques to enhance existing products and develop new functionalities within the legal tech domain.

Qualifications

• Education: Degree in IT, Engineering, Computer Science, or related fields.
• 1-3 years working experience in related fields
• CGPA: Minimum 3.5 CGPA (or provide a recommendation letter if lower).
• Proficiency in Python (including libraries like pandas, numpy, nltk, sklearn, requests, bs4).
• Experience with Natural Language Processing (NLP) (a must).
• Familiarity with Jupyter Notebook or PyCharm IDE.
• Strong teamwork, interpersonal, and communication skills.
• Ability to work in a fast-paced environment.
• Experience in machine learning, NLP, computer vision, or neural networks.
• Practical experience with Python libraries for machine learning tasks.
• Familiarity with data analysis and visualization tools.

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Maybank WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maybank WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

To transform Maybank into a AI Led Organization by enabling business & leadership with easier, faster, better exposure to AI powered capabilities with special augmentation of Gen AI technology.

Objective

Develop and optimize AI models and infrastructure to deliver cutting-edge AI applications and chatbots.

Key Responsibilities

• Develop AI models using the latest advancements in LLMs and ensure their seamless integration into application frameworks.
• Optimize existing AI systems and models for improved efficiency and accuracy.
• Collaborate closely with data engineers and architects to implement effective data strategies for model training and evaluation.
• Stay current with AI research by attending conferences and workshops, bringing innovative ideas back to the team.
• Conduct rigorous testing and validation of AI models to ensure they meet quality standards.
• Write clean, manageable code and maintain proper documentation for all implemented AI systems.
• Participate in peer code reviews and contribute to team knowledge by providing expertise on coding standards and best practices.

Requirements & Skills

• Deep technical expertise in AI and machine learning, particularly in building and deploying large language models and transformers.
• Experience with RAG pipelines, vector embedding, and tokenization techniques, crucial for developing sophisticated AI systems.
• Strong knowledge of in-context learning, fine-tuning, zero-shot learning, few-shot learning, and prompting techniques.
• Proficiency in programming languages like Python, and experience with ML frameworks such as TensorFlow, PyTorch, and libraries from Hugging Face.
• Experience with cloud services (AWS, Azure, Google Cloud) and on-premises deployments, focusing on scalability and security of AI deployments.
• Ability to work collaboratively in a fast-paced, team-oriented environment

Educational Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, or related technical fields.
• Master’s degree or advanced studies in fields like Machine Learning, Data Science, or Computational Linguistics is preferred.
• Certifications or demonstrable experience in specific AI technologies, such as TensorFlow or PyTorch, and familiarity with cloud services used for AI deployments.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Banking

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Mission

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

Overview

As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you.

What Yo u’ ll Do

• State of the art voice cloning
• Low latency and cost effective text to speech

An Ideal Candidate Should Have

• Proven experience in backend development: Python
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers.
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact.
• Experience with Docker and containerized deployments.
• Proficiency in deploying high availability applications on Kubernetes.
• Preferred: Experience deploying NLP or TTS models to production.

What We Offer

• A dynamic environment where your contributions shape the company and its products.
• A team that values innovation, intuition, and drive.
• Autonomy, fostering focus and creativity.
• The opportunity to have a significant impact in a revolutionary industry.
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture.
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more.
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain.

Think you’re a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.