109 AI Solutions jobs in Malaysia

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MoneySmart Group Get AI-powered advice on this job and more exclusive features. MoneySmart Group is South East Asia's leading personal financial portal helping consumers compare loans, insurance, and credit cards. MoneySmart was founded in 2009 with the simple aim to help consumers make better financial decisions.

Mission

We're looking for a sharp, business-savvy

AI Specialist

to lead the discovery and delivery of high-impact AI use cases across our business. You'll play a critical role in transforming operational and customer-facing workflows by applying AI tools, automation, and structured thinking to real-world problems. This is a builder role with broad exposure—ideal for someone with at least 4 years of experience in business analysis or operations or product management, now ready to specialize in AI-first execution.

Responsibilities

AI Opportunity Discovery & Business Design

Identify and prioritise high-value AI opportunities across departments (e.g., Ops, Marketing, CS, Product) Design scalable workflows using AI-first principles to increase speed, accuracy, and leverage Collaborate with cross-functional teams to define clear problem statements, success metrics, and automation strategies

AI Solution Development & Prompt Engineering

Build and test AI-powered tools and prototypes using prompting, no-code/low-code platforms (e.g., ChatGPT, Gemini, n8n) Develop reusable prompt libraries and intelligent workflows tailored to team use cases Partner with Product & Engineering to refine and scale validated solutions

Process Optimisation & Automation

Redesign and document business processes using AI and automation tools Integrate AI agents into workflows using Google Sheets, APIs, or orchestration platforms like n8n Standardise and codify best practices for AI use across the company

Change Enablement & Internal Evangelism

Lead onboarding, training, and documentation for internal teams adopting AI workflows Proactively communicate wins, learnings, and use cases to build momentum Stay on top of the latest in AI tools, use cases, and trends—and bring relevant insights back to the business

Requirements

Must-Have Experience Minimum 4 years in a Business Analyst, Product Ops, Strategy, or Process Improvement role Proven ability to design and optimize processes with measurable business impact Advanced Excel/Google Sheets user, comfortable with formulas, automation, and basic scripting logic Strong structured thinking, stakeholder management, and clear communication skills Demonstrated interest in AI and automation (e.g., prompt engineering, prototyping, AI tools exploration) Ability to work independently and move fast without sacrificing quality

Nice-to-Haves

Experience in a tech company, startup, or cross-functional transformation team Exposure to modern AI tools and platforms (e.g., ChatGPT, Claude, Gemini) Familiarity with orchestration platforms (e.g., N8n, Zapier) Basic coding (e.g., Python, JS) a plus but not required

Why this role matters

You'll shape how AI is adopted and scaled across a business with real operational scale and complexity You'll be a thought partner to leadership and get hands-on with shaping both strategy and execution You'll build a real portfolio of AI solutions that impact revenue, cost, and team productivity You'll join an ambitious company embedding AI into its DNA, not just as a feature—but as leverage

Tools:

You'll work with AI platforms (OpenAI, Claude, Gemini), Google Workspace, Sheets, n8n, Zapier, and emerging AI tools

Moneysmart culture values and tenets

The traits we admire are core intrinsic qualities we look for in someone we want on our team, and we look for people who are

Hungry, Humble and Smart.

We also expect all our people to uphold the following company values:

Play to win as a team Solve for the customer Embrace a personal growth mindset Own it openly Challenge the status quo and deliver outcomes

MoneySmart Group is an equal opportunity employer. Please include only relevant details and avoid unnecessary information (e.g., photos, age) in your job application to assist us in ensuring that the interview process is devoid of bias. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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We are hiring behalf of our Hong Kong based , AI company at the forefront of enterprise innovation. This company specialises in delivering cutting-edge Generative AI solutions tailored for enterprise clients across AMEA region.

We are seeking Enterprise AI Solutions Consultant and this role will play a critical role in bridging the gap between clients and AI engineering team. You will be responsible for understanding client business cahlleges , designing bespoke Generative Ai solutions and ensuring successful implementation.

Key Responsibilities:

• Engage enterprise clients to understand their business challenges and identify high-impact AI opportunities
• Design and propose tailored Generative AI solutions using proprietary models and technologies
• Collaborate with engineering and product teams to scope, develop and deploy solutions that align with client objectives
• Lead workshops, product demos and training sessions to promote client understanding and adoption
• Provide strategic guidance on integrating AI into existing systems, processes and workflows
• Support the full lifecycle of AI deployment from pilot testing to enterprise scale rollouts.
• Collect client feedback and translate it into actionable insights for continuous product improvement
• Stay up to date with advancements in Generative Ai and LLMs, particularly for low resource language relevant to the AMEA region
  

Requirements:

• Bachelor's or Master's Degree in Computer Science, Data Science or related field
• Over 3 years of experience in AI consulting, enterprise tech solutions or related roles
• Solid understanding of Generative Ai, LLMs and machine learning technologies
• Proven track record of translating business needs into effective AI solutions
• Familiar with AI deployment tools, APIs and cloud platforms (e.g AWS, Azure, GCP) is a plus
• Knowledge of low-resouce languages or multilingual NLP solutions is highly desirable
• Fluent in written and spoken English, Mandarin and Cantonese
  

Benefits & Perks:

• Flexible and remote-friendly work environment
• Opportunity to work at the cutting edge of AI innovation in high growth emerging markets
• Competitive salary
• Performance-based incentives

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We are hiring behalf of our Hong Kong based , AI company at the forefront of enterprise innovation. This company specialises in delivering cutting-edge Generative AI solutions tailored for enterprise clients across AMEA region.

We are seeking

Enterprise AI Solutions Consultant

and this role will play a critical role in bridging the gap between clients and AI engineering team. You will be responsible for understanding client business cahlleges , designing bespoke Generative Ai solutions and ensuring successful implementation. Key Responsibilities:

Engage enterprise clients to understand their business challenges and identify high-impact AI opportunities Design and propose tailored Generative AI solutions using proprietary models and technologies Collaborate with engineering and product teams to scope, develop and deploy solutions that align with client objectives Lead workshops, product demos and training sessions to promote client understanding and adoption Provide strategic guidance on integrating AI into existing systems, processes and workflows Support the full lifecycle of AI deployment from pilot testing to enterprise scale rollouts. Collect client feedback and translate it into actionable insights for continuous product improvement Stay up to date with advancements in Generative Ai and LLMs, particularly for low resource language relevant to the AMEA region

Requirements:

Bachelor's or Master's Degree in Computer Science, Data Science or related field Over 3 years of experience in AI consulting, enterprise tech solutions or related roles Solid understanding of Generative Ai, LLMs and machine learning technologies Proven track record of translating business needs into effective AI solutions Familiar with AI deployment tools, APIs and cloud platforms (e.g AWS, Azure, GCP) is a plus Knowledge of low-resouce languages or multilingual NLP solutions is highly desirable Fluent in written and spoken English, Mandarin and Cantonese

Benefits & Perks:

Flexible and remote-friendly work environment Opportunity to work at the cutting edge of AI innovation in high growth emerging markets Competitive salary Performance-based incentives

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MoneySmart Group is South East Asia's leading personal financial portal helping consumers compare loans, insurance, and credit cards. MoneySmart was founded in 2009 with the simple aim to help consumers make better financial decisions.

Mission

We're looking for a sharp, business-savvy

AI Specialist

to lead the discovery and delivery of high-impact AI use cases across our business. You'll play a critical role in transforming operational and customer-facing workflows by applying AI tools, automation, and structured thinking to real-world problems. This is a builder role with broad exposure-ideal for someone with at least 4 years of experience in business analysis or operations or product management, now ready to specialize in AI-first execution.

Responsibilities AI Opportunity Discovery & Business Design Identify and prioritise high-value AI opportunities across departments (e.g., Ops, Marketing, CS, Product) Design scalable workflows using AI-first principles to increase speed, accuracy, and leverage Collaborate with cross-functional teams to define clear problem statements, success metrics, and automation strategies AI Solution Development & Prompt Engineering Build and test AI-powered tools and prototypes using prompting, no-code/low-code platforms (e.g., ChatGPT, Gemini, n8n, make.com) Develop reusable prompt libraries and intelligent workflows tailored to team use cases Partner with Product & Engineering to refine and scale validated solutions Process Optimisation & Automation Redesign and document business processes using AI and automation tools Integrate AI agents into workflows using Google Sheets, APIs, or orchestration platforms like n8n and make.com Standardise and codify best practices for AI use across the company Change Enablement & Internal Evangelism Lead onboarding, training, and documentation for internal teams adopting AI workflows Proactively communicate wins, learnings, and use cases to build momentum Stay on top of the latest in AI tools, use cases, and trends-and bring relevant insights back to the business

Requirements Must-Have Experience Minimum

4 years in a Business Analyst, Product Ops, Strategy, or Process Improvement role Proven ability to design and optimize processes with measurable business impact Advanced Excel/Google Sheets user, comfortable with formulas, automation, and basic scripting logic Strong structured thinking, stakeholder management, and clear communication skills Demonstrated interest in AI and automation (e.g., prompt engineering, prototyping, AI tools exploration) Ability to work independently and move fast without sacrificing quality Nice-to-Haves Experience in a

tech company, startup, or cross-functional transformation team Exposure to modern AI tools and platforms (e.g., ChatGPT, Claude, Gemini) Familiarity with orchestration platforms (e.g., N8n, Zapier) Basic coding (e.g., Python, JS) a plus but not required

Why this role matters You'll shape how AI is adopted and scaled across a business with real operational scale and complexity You'll be a

thought partner to leadership

and get hands-on with shaping both strategy and execution You'll build a

real portfolio of AI solutions

that impact revenue, cost, and team productivity You'll join an ambitious company embedding AI into its DNA, not just as a feature-but as leverage

Tools:

You'll work with AI platforms (OpenAI, Claude, Gemini), Google Workspace, Sheets, n8n, Zapier, and emerging AI tools

Moneysmart culture values and tenets

The traits we admire are core intrinsic qualities we look for in someone we want on our team, and we look for people who are

Hungry, Humble and Smart.

We also expect all our people to uphold the following company values: Play to win as a team Solve for the customer Embrace a personal growth mindset Own it openly Challenge the status quo and deliver outcomes

MoneySmart Group is an equal opportunity employer. Please include only relevant details and avoid unnecessary information (e.g., photos, age) in your job application to assist us in ensuring that the interview process is devoid of bias. Boost your career Find thousands of job opportunities by signing up to eFinancialCareers today.

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MR DIY is embarking on an exciting new venture to pioneer into AI & Robotics retail concept, under a strategic initiative known as Mr. Robot. At Mr. Robot, we are co-developing intelligent robots and automation systems for retail stores and warehouse environments, combining practical field deployment with the latest advances in AI and robotics software.

As the Technical Lead, Robotics & AI Solutions, you’ll lead the hands-on development and deployment of robotic systems used in live store and warehouse settings. You'll work across hardware and software layers to prototype solutions, integrate sensors and intelligence, and ensure smooth operation in customer environments. You will be involved in everything from system architecture and pilot rollouts to debugging edge cases in the field. You will also play a key role in the AI Experience Store initiative, ensuring all robotic systems are integrated, reliable, and continuously enhanced for a world-class visitor experience.

This is a rare opportunity to be part of the founding team in an early-stage venture with the backing and infrastructure of a market leader.

Key Responsibilities

• Lead system integration across hardware (sensors, actuators) and software (ROS, perception, control).
• Develop, test, and deploy robot behavior logic and navigation flows.
• Customize commercial or semi-autonomous robotic platforms to suit specific retail and warehouse use cases.
• Manage on-site deployments, field trials, and pilot testing with partner companies.
• Build internal tools and processes for debugging, data collection, and system monitoring.
• Collaborate closely with product and business teams to translate real-world needs into technical solutions.
• Mentor junior technical staff and help grow the engineering team.

Job Requirements

• Has 3 to 6 years of experience in robotics engineering, automation, or mechatronics.
• Strong knowledge of ROS (Robot Operating System), Python/C++, and Linux-based systems.
• Experience integrating sensor systems (lidar, cameras, IMUs) and working with mobile robot platforms.
• Good understanding of navigation, SLAM, control algorithms, and robot behavior tuning.
• Field readiness: able to handle messy real-world conditions and debug under pressure.
• Strong ownership mindset, clear communication skills, and bias toward execution.
• Prior experience in deploying robotics in commercial or industrial settings is a plus.
• Preferably, familiar with AI or computer vision models (e.g., for object detection, speech interaction).
• Experience with cloud-based control systems, MQTT, fleet dashboards, or mobile UIs preferred
• Background in retail, warehouse logistics, or field automation is a plus.
• Startup experience or early product development work is an advantage.

What You’ll Gain

• A key technical role in an ambitious robotics venture backed by an established manufacturing group.
• The opportunity to ship real robots into real stores and warehouses, not just lab demos.
• Broad exposure to full-stack robotics work—from hardware tuning to AI interfaces.
• A chance to shape the future of intelligent automation in Southeast Asia.
• Career growth toward Head of Engineering or CTO based on performance and company trajectory.
• Competitive compensation with potential for equity or performance-linked rewards.

What We Offer

• Opportunity to be at the forefront of the robotics and AI revolution in Malaysia.
• High-visibility role under MR DIY’s strategic innovation arm.
• Dynamic and fast-paced environment with real impact on future tech retail.
• Career growth in a pioneering initiative with long-term regional expansion plans.

#J-18808-Ljbffr

MR DIY is embarking on an exciting new venture to pioneer into AI & Robotics retail concept, under a strategic initiative known as Mr. Robot. At Mr. Robot, we are co-developing intelligent robots and automation systems for retail stores and warehouse environments, combining practical field deployment with the latest advances in AI and robotics software. As the

Technical Lead, Robotics & AI Solutions,

you’ll lead the hands-on development and deployment of robotic systems used in live store and warehouse settings. You'll work across hardware and software layers to prototype solutions, integrate sensors and intelligence, and ensure smooth operation in customer environments. You will be involved in everything from system architecture and pilot rollouts to debugging edge cases in the field. You will also play a key role in the AI Experience Store initiative, ensuring all robotic systems are integrated, reliable, and continuously enhanced for a world-class visitor experience. This is a rare opportunity to be part of the founding team in an early-stage venture with the backing and infrastructure of a market leader. Key Responsibilities Lead system integration across hardware (sensors, actuators) and software (ROS, perception, control). Develop, test, and deploy robot behavior logic and navigation flows. Customize commercial or semi-autonomous robotic platforms to suit specific retail and warehouse use cases. Manage on-site deployments, field trials, and pilot testing with partner companies. Build internal tools and processes for debugging, data collection, and system monitoring. Collaborate closely with product and business teams to translate real-world needs into technical solutions. Mentor junior technical staff and help grow the engineering team. Job Requirements Has 3 to 6 years of experience in robotics engineering, automation, or mechatronics. Strong knowledge of ROS (Robot Operating System), Python/C++, and Linux-based systems. Experience integrating sensor systems (lidar, cameras, IMUs) and working with mobile robot platforms. Good understanding of navigation, SLAM, control algorithms, and robot behavior tuning. Field readiness: able to handle messy real-world conditions and debug under pressure. Strong ownership mindset, clear communication skills, and bias toward execution. Prior experience in deploying robotics in commercial or industrial settings is a plus. Preferably, familiar with AI or computer vision models (e.g., for object detection, speech interaction). Experience with cloud-based control systems, MQTT, fleet dashboards, or mobile UIs preferred Background in retail, warehouse logistics, or field automation is a plus. Startup experience or early product development work is an advantage. What You’ll Gain A key technical role in an ambitious robotics venture backed by an established manufacturing group. The opportunity to ship real robots into real stores and warehouses, not just lab demos. Broad exposure to full-stack robotics work—from hardware tuning to AI interfaces. A chance to shape the future of intelligent automation in Southeast Asia. Career growth toward Head of Engineering or CTO based on performance and company trajectory. Competitive compensation with potential for equity or performance-linked rewards. What We Offer Opportunity to be at the forefront of the robotics and AI revolution in Malaysia. High-visibility role under MR DIY’s strategic innovation arm. Dynamic and fast-paced environment with real impact on future tech retail. Career growth in a pioneering initiative with long-term regional expansion plans.

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• This role bridges the gap between platform teams and business teams, focusing on enabling chatbot functionality, refining outputs from knowledge management systems, and fostering collaboration. This role is crucial for leveraging generative AI technologies to ensure that the systems are reliable, fair, and aligned with user expectations.

• Advocate for the adoption of cutting-edge AI technologies and frameworks, driving the evolution of backend practices to meet future challenges.

Key Responsibilities

• Chatbot Enablement: Oversee the deployment and optimization of chatbot systems. Refine chatbot outputs by improving the knowledge management system and ensuring accuracy and relevance.
• Collaboration: Work with platform teams to provide feedback on model improvements. Collaborate with developers and data scientists to refine algorithms. Partner with business teams to understand their needs and tailor chatbot solutions.
• Knowledge Management: Collaborate with specialists to maintain and update the chatbot's knowledge base. Ensure the chatbot understands context and provides meaningful responses.
• Data Quality Assurance: Preprocess test data, verify training data integrity, and identify issues like data bias or insufficiency.
• Develop Testing Strategies: Design and implement testing strategies, create automated test suites for AI/ML pipelines and APIs.
• Testing Generative AI Systems: Validate outputs for accuracy, consistency, and fairness. Conduct various tests and ensure ethical standards by identifying biases.
• Documentation and Reporting: Document test cases, procedures, and results. Analyze validation data trends to identify improvement areas.

Additional Responsibilities

• Training and Feedback: Conduct training for users, gather feedback for improvements.
• Monitoring and Reporting: Monitor performance metrics and report to stakeholders.

Strategy & Business

• Oversee standards and provide technical assistance. Responsible for code quality and aligning with domain strategies. Focus on capability building rather than application ownership. Drive technological excellence and provide strategic leadership in Java backend expertise.

• Contribute to squad delivery, balance skills across teams, and evolve practices towards automation and innovation. Collaborate to meet functional and strategic goals.

Skills and Experience

• Processes: Promote feedback, adopt change standards, clarify roles, and build capability.
• People & Talent: Focus on skill development and capability growth.
• Risk Management: Follow standards, mitigate risks, and develop contingency plans.
• Governance: Ensure compliance with standards and policies.

Qualifications

• Soft Skills: Strong communication, critical thinking, analytical skills, and data interpretation.
• Technical Skills: Proficiency in Python or Java, testing frameworks like PyTest, familiarity with ML frameworks (TensorFlow, PyTorch), and understanding of CI/CD tools like Azure DevOps.
• Educational & Experience: Bachelor’s in CS or related, 2-3+ years in QA/validation roles for AI/ML, knowledge of ethical AI, ability to work in fast-paced environments.

About Standard Chartered

We are an international bank committed to making a positive impact, valuing diversity, and fostering an inclusive environment. Our purpose is to drive commerce and prosperity through our unique diversity, and we uphold our values through our behaviors.

We offer competitive salaries, benefits, flexible working, wellbeing support, continuous learning opportunities, and a culture that celebrates diversity and inclusion.

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Press Tab to Move to Skip to Content Link • This role bridges the gap between platform teams and business teams, focusing on enabling chatbot functionality, refining outputs from knowledge management systems, and fostering collaboration. This role is crucial for leveraging generative AI technologies to ensure that the systems are reliable, fair, and aligned with user expectations. • Advocate for the adoption of cutting-edge AI technologies and frameworks, driving the evolution of backend practices to meet future challenges. Key Responsibilities

Chatbot Enablement:

Oversee the deployment and optimization of chatbot systems. Refine chatbot outputs by improving the knowledge management system and ensuring accuracy and relevance. Collaboration:

Work with platform teams to provide feedback on model improvements. Collaborate with developers and data scientists to refine algorithms. Partner with business teams to understand their needs and tailor chatbot solutions. Knowledge Management:

Collaborate with specialists to maintain and update the chatbot's knowledge base. Ensure the chatbot understands context and provides meaningful responses. Data Quality Assurance:

Preprocess test data, verify training data integrity, and identify issues like data bias or insufficiency. Develop Testing Strategies:

Design and implement testing strategies, create automated test suites for AI/ML pipelines and APIs. Testing Generative AI Systems:

Validate outputs for accuracy, consistency, and fairness. Conduct various tests and ensure ethical standards by identifying biases. Documentation and Reporting:

Document test cases, procedures, and results. Analyze validation data trends to identify improvement areas. Additional Responsibilities

Training and Feedback:

Conduct training for users, gather feedback for improvements. Monitoring and Reporting:

Monitor performance metrics and report to stakeholders. Strategy & Business

• Oversee standards and provide technical assistance. Responsible for code quality and aligning with domain strategies. Focus on capability building rather than application ownership. Drive technological excellence and provide strategic leadership in Java backend expertise. • Contribute to squad delivery, balance skills across teams, and evolve practices towards automation and innovation. Collaborate to meet functional and strategic goals. Skills and Experience

Processes:

Promote feedback, adopt change standards, clarify roles, and build capability. People & Talent:

Focus on skill development and capability growth. Risk Management:

Follow standards, mitigate risks, and develop contingency plans. Governance:

Ensure compliance with standards and policies. Qualifications

Soft Skills:

Strong communication, critical thinking, analytical skills, and data interpretation. Technical Skills:

Proficiency in Python or Java, testing frameworks like PyTest, familiarity with ML frameworks (TensorFlow, PyTorch), and understanding of CI/CD tools like Azure DevOps. Educational & Experience:

Bachelor’s in CS or related, 2-3+ years in QA/validation roles for AI/ML, knowledge of ethical AI, ability to work in fast-paced environments. About Standard Chartered

We are an international bank committed to making a positive impact, valuing diversity, and fostering an inclusive environment. Our purpose is to drive commerce and prosperity through our unique diversity, and we uphold our values through our behaviors. We offer competitive salaries, benefits, flexible working, wellbeing support, continuous learning opportunities, and a culture that celebrates diversity and inclusion.

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Job Overview :

As an AI Engineering Specialist , you will play a critical role in developing and integrating advanced AI models into Alphatok's production systems, including our flagship CRM and ERP software. You will work closely with our engineering team, contributing to Alphatok’s vision of providing AI-powered solutions to businesses in diverse sectors. Reporting to the Chief Technology Officer (CTO), this role offers you the chance to develop scalable AI solutions while working in a fast-paced, dynamic startup environment.

Key Responsibilities :

• Write clean, efficient, and maintainable code to develop AI solutions for Alphatok's B2B software products.
• Collaborate with data engineers to ensure robust data pipelines and accurate data integration.
• Implement and optimize AI models in real-time production environments.
• Leverage Retrieval Augmented Generation (RAG) and other advanced AI techniques to improve user interaction and software functionalities.
• Experiment with AI methods such as natural language processing (NLP), knowledge graphs, and neural networks to enhance Alphatok’s software capabilities.
• Work closely with cross-functional teams, including project managers, data scientists, and product developers, to meet client requirements and deliver AI-driven solutions.
• Stay updated on the latest AI and machine learning trends to ensure Alphatok’s products remain industry-leading.
• Participate in the agile software development process, contributing to sprint planning, daily stand-ups, and code reviews.
• Develop and maintain comprehensive documentation for AI models, processes, and methodologies.
• Integrate AI-based automation and intelligent features into Alphatok's CRM and ERP systems to improve user efficiency and client satisfaction.

Required Qualifications :

• Bachelor’s degree in Computer Science, Mathematics, Data Science, or a related field.
• Minimum of 2+ years of experience in AI engineering, with a focus on AI model development and integration.
• Proficient in Python and familiar with AI frameworks like TensorFlow or PyTorch.
• Experience in building scalable AI systems using modern cloud platforms such as AWS, Google Cloud, or Azure.
• Familiar with machine learning concepts, including optimization algorithms, evaluation metrics, and neural networks.
• Knowledge of DevOps and experience with CI/CD pipelines, version control (e.g., Git), and testing methodologies.
• Experience in working with RESTful APIs and data pipeline integration.
• Strong problem-solving skills, with the ability to work independently and adapt quickly to new technologies.

Preferred Qualifications :

• Experience with Retrieval Augmented Generation (RAG) and other prompt engineering techniques.
• Knowledge of multi-user collaborative design systems and AI-driven project management.
• Experience with Docker for building, deploying, and managing containers in production environments.
• Familiarity with frontend and backend development (e.g., Node.js, TypeScript, C#, or Java).
• Experience working with B2B software systems like ERP and CRM in a cloud-based architecture.

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