316 AI Specialist jobs in Malaysia
Artificial Intelligence (AI) Specialist
Posted 22 days ago
Job Viewed
Job Description
As an AI Specialist, you will be developing and implementing AI solutions to enhance our financial products and services. You will work on a variety of AI and machine learning projects with the aim of improving user experiences, optimizing operations, and driving business growth.
Key Responsibilities:
- Design, develop, and deploy AI models and algorithms for various financial applications.
- Collaborate with cross-functional teams to gather and analyze data, identify opportunities for AI integration, and provide data-driven insights.
- Implement Generative AI, predictive AI, data analytics, and other AI techniques to develop advanced financial tools.
- Stay up-to-date with the latest AI and machine learning trends and technologies and assess their potential applications in the Fintech industry.
- Optimize AI models for accuracy performance, scalability, and reliability.
- Create and maintain documentation for AI solutions, including model architecture, data pipelines, and processes.
- Participate in code reviews and provide guidance on best practices for AI development.
- Be part of building up MLOps ecosystem.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Having final year project or any working experience related to AI would be an advantage.
- Excellent problem-solving and analytical skills.
- Effective communication and teamwork abilities.
All applications will be treated in strict confidence. We regret that only shortlisted applicants will be notified.
Note: Job responsibilities / requirements are representative and are not intended to be a detailed list. Other tasks/abilities may be required of the incumbent, relative to the specific assignment.
Job Requirement:Experience Level: Entry level (i.e. Exec, Snr. Exec)
Bachelor's Degree: Required
Language:
Skillset:
- Analytical Skills
- Teamwork
- Problem-solving
Remuneration package:
Competitive Salary (way above market rate if you have the right potential!)
Coverage:
Insurance and medical coverage.
Monthly sports allowance, Yearly department gathering and welcome dinner for new staff.
Company Overview:iFAST Corporation is a global digital banking and wealth management platform headquartered in Singapore, providing a comprehensive range of investment products and services to financial advisory firms, financial institutions, banks, internet companies, multinational companies, as well as retail and high net worth investors in Asia.
#J-18808-LjbffrArtificial Intelligence (AI) Specialist
Posted 5 days ago
Job Viewed
Job Description
Job responsibilities / requirements are representative and are not intended to be a detailed list. Other tasks/abilities may be required of the incumbent, relative to the specific assignment. Job Requirement:
Experience Level:
Entry level (i.e. Exec, Snr. Exec) Bachelor's Degree:
Required Language: Skillset: Analytical Skills Teamwork Problem-solving Remuneration package: Competitive Salary (way above market rate if you have the right potential!) Coverage: Insurance and medical coverage. Monthly sports allowance, Yearly department gathering and welcome dinner for new staff. Company Overview:
iFAST Corporation is a global digital banking and wealth management platform headquartered in Singapore, providing a comprehensive range of investment products and services to financial advisory firms, financial institutions, banks, internet companies, multinational companies, as well as retail and high net worth investors in Asia.
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AI Specialist Group Digital Transformation
Posted 2 days ago
Job Viewed
Job Description
DKSH WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
OverviewAs an AI Specialist, you will be responsible for developing predictive models, performing advanced analytics and generating insights that drive significant business impact. You will be collaborating with cross-functional teams, articulating complex data concepts in a business-friendly manner to stakeholders. You will also contribute to operational excellence and support new initiatives requiring AI-driven solutions.
Responsibilities- Drive rapid prototyping of innovative ideas, transforming concepts into tangible data-driven solutions quickly and efficiently.
- Lead data science projects from ideation and data preparation to model development, deployment and monitoring.
- Develop and implement predictive models and machine learning algorithms using Python, TensorFlow or PyTorch
- Analyze complex datasets to extract insights and support data-driven decision making.
- Develop dashboards, visualizations, and impactful insights that support effective business decision making
- Collaborate closely with data engineers and cross functional teams to ensure seamless data integration and operational efficiency.
- Apply MLOps practices to manage and deploy models in production environments using Azure cloud platform and tools like Docker and CI/CD pipelines.
- Translate complex analytical insights into clear, business-oriented recommendations.
- Apply agile methodologies to manage and execute data science projects effectively.
- Stay updated with the latest trends in data science and proactively evangelize new technologies or methodologies to the organization.
- Able to influence opinions and decisions when working closely with internal and external stakeholders.
- Identify, solve issues to ensure projects stay on track and meet objectives
- Effective communication with both technical and non-technical stakeholders
- Ensure collaboration with cross-functional teams and stakeholders to ensure smooth project execution and achievement of business goals.
- Proficient in Python, Tensorflow or PyTorch
- Strong foundation in statistics, machine learning, algorithms and data structures
- Strong experience with data visualization tools
- Demonstrated experience in predictive analytics, operational excellence and generating customer insights
- Solid understanding or Agile / Scrum methodologies
- Experience with MLOps practices, including model deployment, monitoring and CI/CD for data science workflows
- Knowledge of modern AI techniques, including generative AI and advanced machine learning methods
- Strong problem-solving and analytical thinking skills
- Experience with MLOps tools (e.g. MLflow or similar frameworks).
- Familiarity with containerization and orchestration tools (e.g. Docker)
- Ability to work independently and manage multiple projects simultaneously.
- Innovative mindset and a passion for continuous learning and introducing new technologies.
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees or relevant certifications are a plus.
- Minimum of 5 years relevant experience in data science, analytics or related areas
- Associate
- Full-time
- Design, Art/Creative, and Information Technology
- Business Consulting and Services, Technology, Information and Media, and Professional Services
AI Specialist Group Digital Transformation
Posted 3 days ago
Job Viewed
Job Description
Join to apply for the AI Specialist Group Digital Transformation role at DKSH Scientific Solutions
AI Specialist Group Digital Transformation1 day ago Be among the first 25 applicants
Join to apply for the AI Specialist Group Digital Transformation role at DKSH Scientific Solutions
Title: AI Specialist Group Digital Transformation
Location:
Kuala Lumpur, MY, MY
Global Business Unit: OTH
Job Function: Information Technology
Requisition Number:
Description
Job summary
As an AI Specialist, you will be responsible for developing predictive models, performing advanced analytics and generating insights that drive significant business impact.You will be collaborating with cross-functional teams, articulating complex data concepts in a business-friendly manner to stakeholders. You will also contribute to operational excellence and support new initiatives requiring AI-driven solutions.
General responsibilities
- Drive rapid prototyping of innovative ideas, transforming concepts into tangible data-driven solutions quickly and efficiently.
- Lead data science projects from ideation and data preparation to model development, deployment and monitoring.
- Develop and implement predictive models and machine learning algorithms using Python, TensorFlow or PyTorch
- Analyze complex datasets to extract insights and support data-driven decision making.
- Develop dashboards, visualizations, and impactful insights that support effective business decision making
- Collaborate closely with data engineers and cross functional teams to ensure seamless data integration and operational efficiency.
- Apply MLOps practices to manage and deploy models in production environments using Azure cloud platform and tools like Docker and CI/CD pipelines.
- Translate complex analytical insights into clear, business-oriented recommendations.
- Apply agile methodologies to manage and execute data science projects effectively.
- Stay updated with the latest trends in data science and proactively evangelize new technologies or methodologies to the organization
- Able to influence opinions and decisions when working closely with internal and external stakeholders.
- Identify, solve issues to ensure projects stay on track and meet objectives
- Effective communication with both technical and non-technical stakeholders
- Ensure collaboration with cross-functional teams and stakeholders to ensure smooth project execution and achievement of business goals.
- Proficient in Python, Tensorflow or PyTorch
- Strong foundation in statistics, machine learning, algorithms and data structures
- Strong experience with data visualization tools
- Demonstrated experience in predictive analytics, operational excellence and generating customer insights
- Solid understanding or Agile / Scrum methodologies
- Experience with MLOps practices, including model deployment, monitoring and CI/CD for data science workflows
- Knowledge of modern AI techniques, including generative AI and advance machine learning methods.
- Strong problem-solving and analytical thinking skills
- Experience with MLOps tools (e.g. MLflow or similar frameworks).
- Familiarity with containerization and orchestration tools (e.g. Docker)
- Ability to work independently and manage multiple projects simultaneously.
- Innovative mindset and a passion for continuous learning and introducing new technologies.
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees or relevant certifications are a plus.
- Minimum of 5 years relevant experience in data science, analytics or related areas
Job Function: Information Technology Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Design, Art/Creative, and Information Technology
- Industries Transportation, Logistics, Supply Chain and Storage
Referrals increase your chances of interviewing at DKSH Scientific Solutions by 2x
Get notified about new Digital Specialist jobs in Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia .
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#J-18808-LjbffrAI Specialist Group Digital Transformation
Posted 2 days ago
Job Viewed
Job Description
Overview As an AI Specialist, you will be responsible for developing predictive models, performing advanced analytics and generating insights that drive significant business impact. You will be collaborating with cross-functional teams, articulating complex data concepts in a business-friendly manner to stakeholders. You will also contribute to operational excellence and support new initiatives requiring AI-driven solutions.
Responsibilities
Drive rapid prototyping of innovative ideas, transforming concepts into tangible data-driven solutions quickly and efficiently.
Lead data science projects from ideation and data preparation to model development, deployment and monitoring.
Develop and implement predictive models and machine learning algorithms using Python, TensorFlow or PyTorch
Analyze complex datasets to extract insights and support data-driven decision making.
Develop dashboards, visualizations, and impactful insights that support effective business decision making
Collaborate closely with data engineers and cross functional teams to ensure seamless data integration and operational efficiency.
Apply MLOps practices to manage and deploy models in production environments using Azure cloud platform and tools like Docker and CI/CD pipelines.
Translate complex analytical insights into clear, business-oriented recommendations.
Apply agile methodologies to manage and execute data science projects effectively.
Stay updated with the latest trends in data science and proactively evangelize new technologies or methodologies to the organization.
Leadership responsibilities
Able to influence opinions and decisions when working closely with internal and external stakeholders.
Identify, solve issues to ensure projects stay on track and meet objectives
Effective communication with both technical and non-technical stakeholders
Ensure collaboration with cross-functional teams and stakeholders to ensure smooth project execution and achievement of business goals.
Functional skills and knowledge
Proficient in Python, Tensorflow or PyTorch
Strong foundation in statistics, machine learning, algorithms and data structures
Strong experience with data visualization tools
Demonstrated experience in predictive analytics, operational excellence and generating customer insights
Solid understanding or Agile / Scrum methodologies
Experience with MLOps practices, including model deployment, monitoring and CI/CD for data science workflows
Knowledge of modern AI techniques, including generative AI and advanced machine learning methods
Strong problem-solving and analytical thinking skills
Preferred Skills
Experience with MLOps tools (e.g. MLflow or similar frameworks).
Familiarity with containerization and orchestration tools (e.g. Docker)
Ability to work independently and manage multiple projects simultaneously.
Innovative mindset and a passion for continuous learning and introducing new technologies.
Education
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees or relevant certifications are a plus.
Work experience
Minimum of 5 years relevant experience in data science, analytics or related areas
Seniority level
Associate
Employment type
Full-time
Job function
Design, Art/Creative, and Information Technology
Industries
Business Consulting and Services, Technology, Information and Media, and Professional Services
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AI Specialist Group Digital Transformation
Posted 3 days ago
Job Viewed
Job Description
Join to apply for the
AI Specialist Group Digital Transformation
role at
DKSH Scientific Solutions AI Specialist Group Digital Transformation
1 day ago Be among the first 25 applicants Join to apply for the
AI Specialist Group Digital Transformation
role at
DKSH Scientific Solutions Title: AI Specialist Group Digital Transformation
Location:
Kuala Lumpur, MY, MY
Global Business Unit: OTH
Job Function: Information Technology
Requisition Number:
Description
Job summary
As an AI Specialist, you will be responsible for developing predictive models, performing advanced analytics and generating insights that drive significant business impact.You will be collaborating with cross-functional teams, articulating complex data concepts in a business-friendly manner to stakeholders. You will also contribute to operational excellence and support new initiatives requiring AI-driven solutions.
General responsibilities
Drive rapid prototyping of innovative ideas, transforming concepts into tangible data-driven solutions quickly and efficiently. Lead data science projects from ideation and data preparation to model development, deployment and monitoring. Develop and implement predictive models and machine learning algorithms using Python, TensorFlow or PyTorch Analyze complex datasets to extract insights and support data-driven decision making. Develop dashboards, visualizations, and impactful insights that support effective business decision making Collaborate closely with data engineers and cross functional teams to ensure seamless data integration and operational efficiency. Apply MLOps practices to manage and deploy models in production environments using Azure cloud platform and tools like Docker and CI/CD pipelines. Translate complex analytical insights into clear, business-oriented recommendations. Apply agile methodologies to manage and execute data science projects effectively. Stay updated with the latest trends in data science and proactively evangelize new technologies or methodologies to the organization
Leadership responsibilities
Able to influence opinions and decisions when working closely with internal and external stakeholders. Identify, solve issues to ensure projects stay on track and meet objectives Effective communication with both technical and non-technical stakeholders Ensure collaboration with cross-functional teams and stakeholders to ensure smooth project execution and achievement of business goals.
Functional skills and knowledge
Proficient in Python, Tensorflow or PyTorch Strong foundation in statistics, machine learning, algorithms and data structures Strong experience with data visualization tools Demonstrated experience in predictive analytics, operational excellence and generating customer insights Solid understanding or Agile / Scrum methodologies Experience with MLOps practices, including model deployment, monitoring and CI/CD for data science workflows Knowledge of modern AI techniques, including generative AI and advance machine learning methods. Strong problem-solving and analytical thinking skills
Preferred Skills
Experience with MLOps tools (e.g. MLflow or similar frameworks). Familiarity with containerization and orchestration tools (e.g. Docker) Ability to work independently and manage multiple projects simultaneously. Innovative mindset and a passion for continuous learning and introducing new technologies.
Education
Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Advanced degrees or relevant certifications are a plus.
Work experience
Minimum of 5 years relevant experience in data science, analytics or related areas
Requisition Number:
Job Function: Information Technology Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Design, Art/Creative, and Information Technology Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at DKSH Scientific Solutions by 2x Get notified about new Digital Specialist jobs in
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia . Marketing - General Recruitment (2025 Intake)
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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago (Garena) Social Media Specialist - Contractor
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Listing Coordinator - Listing & Content, MY Marketplace (Open for fresh graduates)
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago E-Commerce Digital Marketing Specialist (MYSG)
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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR38,400.00-MYR54, hours ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Federal Territory of Kuala Lumpur, Malaysia 1 week ago Petaling Jaya, Selangor, Malaysia 6 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR33,600.00-MYR45, hours ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 days ago Marketing Communications (Digital) Specialist
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago Petaling Jaya, Selangor, Malaysia 4 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Petaling Jaya, Selangor, Malaysia MYR2,800.00-MYR3,500.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Chief Technology Officer (CTO) – AI Specialist
Posted 22 days ago
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Job Description
Company Overview
We are partnering with a Corporate Finance & Investment Banking (Banking & Financial Services) company. A dynamic and innovative tech company from Germany specializing in military-grade secure messaging and AI.
Job Description:
- Develop and execute the organization’s technology vision and roadmap, particularly in the AI and LLM domains.
Stay ahead of emerging trends in AI, natural language processing (NLP), and LLMs to identify opportunities for innovation. - Collaborate with executive leadership to align AI initiatives with business goals and market demands.
- Lead the design, training, fine-tuning, and deployment of LLMs for various applications, including conversational AI, content generation, and predictive analytics.
- Build, mentor, and manage high-performing AI and engineering teams, fostering a culture of innovation and collaboration.
- Provide technical guidance to teams, ensuring adherence to best practices in AI and software development.
- Oversee the creation of AI-driven products and solutions, ensuring they meet user needs and business objectives.
- Represent the company at conferences, seminars, and industry events to position it as a leader in tech, AI, and LLM technologies.
- Ensure compliance with ethical AI standards, data privacy regulations, and industry-specific guidelines.
Requirements to be successful:
- Experience: 10+ years of experience in technology leadership roles, with a proven track record in AI and LLM development.
- Technical expertise in various fields.
- Exceptional ability to inspire and lead multidisciplinary teams.
- Communication skills: Strong written and verbal communication, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience in deploying AI models in production environments at scale.
- Knowledge of ethical AI, data privacy regulations, and security best practices.
Rewards gained:
The opportunity to be part of a fast-growing Group which is a leader in its field of industry and offers excellent career progression opportunities locally as well as globally. The Group understands the importance of workplace values and culture, where they strongly encourage employees to develop their strengths and recognize their achievements accordingly.
To Apply:
If you’re interested in this role, click ‘apply now’ to submit your resume (in MS Word format) to Due to overwhelming responses, we will only be able to contact shortlisted candidates.
Job Ref: /096
Consultant: Hui Cheng Heng
Registration No: -W)
EA Licence No: JTKSM 949A
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Chief Technology Officer (CTO) – AI Specialist
Posted 5 days ago
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AI Automation Specialist
Posted today
Job Viewed
Job Description
Overview
Are you passionate about AI, process automation, and driving digital transformation? Join our forward-thinking team as an AI Automation Specialist, where you'll help reshape the future of work through intelligent automation and cutting-edge AI tools.
Job Overview: As an Automation Specialist, you’ll lead the design, implementation, and maintenance of automated systems to streamline administrative, academic, and operational workflows. You'll support staff adoption, optimize efficiency, and enhance the user experience within our school ecosystem.
Key Responsibilities- Design, develop, and implement AI-driven automation solutions across departments (e.g., marketing, operations, finance, academics).
- Collaborate with IT, admissions, academics, and finance teams to identify and automate repetitive workflows like student admissions processing, report generation, attendance tracking, scheduling systems, and data integration between platforms (e.g., SIS, CRM, LMS).
- Use tools like Python, RPA (UiPath, Power Automate), Zapier, Make.com, n8n, or custom APIs to streamline business processes.
- Integrate AI models (e.g., OpenAI GPT, Claude, Gemini) into existing workflows to boost efficiency and decision-making.
- Monitor, maintain, and continuously improve deployed automation pipelines.
- Train and support internal teams in the adoption of AI tools and no-code/low-code solutions.
- Create clear documentation on automation processes; develop user-guides and train school staff to drive adoption and best practices.
- Analyze workflows, capture feedback, and iterate on automation tools to ensure they remain effective and scalable.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
- 3+ years of experience in automation, scripting, and AI tool integration.
- Hands-on knowledge of AI/ML APIs (e.g., OpenAI, Google Cloud AI, AWS AI services).
- Experience with RPA platforms and no-code tools (e.g., Make, Zapier, Power Automate).
- Familiarity with API integration, workflow design, and cloud services.
- Experience with LLM fine-tuning or prompt engineering.
- Excellent analytical, problem-solving, and communication skills.
AI Automation Specialist
Posted today
Job Viewed
Job Description
Are you passionate about AI, process automation, and driving digital transformation? Join our forward-thinking team as an AI Automation Specialist, where you'll help reshape the future of work through intelligent automation and cutting-edge AI tools. Job Overview: As an Automation Specialist, you’ll lead the design, implementation, and maintenance of automated systems to streamline administrative, academic, and operational workflows. You'll support staff adoption, optimize efficiency, and enhance the user experience within our school ecosystem. Key Responsibilities
Design, develop, and implement AI-driven automation solutions across departments (e.g., marketing, operations, finance, academics). Collaborate with IT, admissions, academics, and finance teams to identify and automate repetitive workflows like student admissions processing, report generation, attendance tracking, scheduling systems, and data integration between platforms (e.g., SIS, CRM, LMS). Use tools like Python, RPA (UiPath, Power Automate), Zapier, Make.com, n8n, or custom APIs to streamline business processes. Integrate AI models (e.g., OpenAI GPT, Claude, Gemini) into existing workflows to boost efficiency and decision-making. Monitor, maintain, and continuously improve deployed automation pipelines. Train and support internal teams in the adoption of AI tools and no-code/low-code solutions. Create clear documentation on automation processes; develop user-guides and train school staff to drive adoption and best practices. Analyze workflows, capture feedback, and iterate on automation tools to ensure they remain effective and scalable. Required Skills & Qualifications
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. 3+ years of experience in automation, scripting, and AI tool integration. Hands-on knowledge of AI/ML APIs (e.g., OpenAI, Google Cloud AI, AWS AI services). Experience with RPA platforms and no-code tools (e.g., Make, Zapier, Power Automate). Familiarity with API integration, workflow design, and cloud services. Experience with LLM fine-tuning or prompt engineering. Excellent analytical, problem-solving, and communication skills.
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