446 Freelance AI jobs in Malaysia

Thales (Euronext Paris: HO) is a global leader in advanced technologies specialising in three business domains: Defence & Security, Aeronautics & Space and Cybersecurity & Digital identity. It develops products and solutions that help make the world safer, greener and more inclusive. The Group invests close to €4 billion a year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum technologies, cloud technologies and 6G. Thales has close to 81,000 employees in 68 countries. In 2023, the Group generated sales of €18.4 billion. Thales has been present in Singapore since 1973 originally supporting aerospace-related activities in the Asia-Pacific region. Since then, the company has expanded and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security and Digital Identity & Security. Thales employs over 2,000 employees across 3 locations in Singapore providing solutions that help customers make critical decisions. As a people-centred company, Thales was honoured to be ranked 50th out of 200 on Straits Times Singapore’s Best Employers 2021 list, a recognition of our investment in nurturing talent. About Us At Thales Research and Technology (TRT), we extend the influence of Thales within the scientific and technical communities, offering a platform for innovation and knowledge sharing, and attracting talented research engineers to further develop our expertise. Together with our academic partners in the universities, we deliver impactful innovations that prepare for future applications. Role Description We are seeking a talented and driven Engineer/Senior Engineer specializing in Data Science & AI, with a strong emphasis on computer vision and machine learning, to join our dynamic team. In this role, you will contribute to our pioneering projects in intelligent systems that transform operational data into actionable information that enable End Users to make trusted decisions. To be successful in this role, you should possess curiosity to explore the State-of-the-Art, willingness to challenge the status quo, being open-minded to new possibilities and be a team player in a dynamic research environment. You should thrive on self-learning and value hands-on experience in upskilling. You should be proactive to propose and champion new ideas towards stakeholders and create new values from the application of Data Science & AI in Thales business domains. Responsibilities: · Develop and implement computer vision algorithms and machine learning models for a range of applications, including object detection, change detection, anomaly detection, multiclass classification, behaviour analysis, and video stitching and scaling. · Contribute to cross-functional teams developing proof-of-concepts and conduct experiments in realistic environments to validate algorithms, optimize performance, and ensure the robustness of models in real-world applications. · Able to generate good quality documentation and capture patentable inventions. · Stay current with the latest advancements in AI, machine learning, and computer vision technologies to continually enhance our capabilities. · Motivated to share knowledge via presentations in internal and external events. · In the case of a Senior Engineer profile, act as the computer vision subject matter expert and provide technical guidance and mentorship in the team. Requirements: · Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field, with specialisation in Data Science and AI. · Hands-on experience in computer vision and machine learning, with a diverse portfolio of projects. · Proficiency in programming languages such as Python, C++, or C, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, OpenCV) and MLOps concepts (e.g. KubeFlow). · Solid understanding of deep learning architectures and algorithms like CNN and vision transformer, particularly in the context of image and video analysis. · Strong analytical skills and the ability to work with large datasets. · Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders. · Experience in a collaborative, team-oriented environment. Desired Skills: · Familiarity with cloud computing platforms and big data technologies. · Knowledge of embedded systems and real-time processing. · Experience in specific domains such as aerospace, automotive, defence, or security is a plus.

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Join to apply for the Lecturer (Computer Science, Data Science, AI) role at Monash University Malaysia

Join to apply for the Lecturer (Computer Science, Data Science, AI) role at Monash University Malaysia

Lecturer

Job No.: 492768

School: School of Information Technology

Location: Main campus

Employment Type: Full-time

Duration: Fixed-term

Classification: Level B

• Be inspired, every day
• Take your career in exciting, rewarding directions
• Be a part of an inclusive, collaborative community
  
  

Everyone needs a platform to launch a satisfying career. At Monash, we give you space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure, and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

The Opportunity

Level B Teaching Fellows are expected to make solid contributions to teaching and learning within their school. Teaching Fellows at this level may be appointed in recognition of distinction in their disciplinary area. The position is expected to engage in high-quality education and enhancing the student learning experience of the School. S/he will play a strong leadership role in educational innovation, curriculum design and review. S/he will make an outstanding contribution inside and outside of the University, and in engagement with the community and profession, notably in areas related to teaching and learning.

Position Description

Teaching Fellow

Key Responsibilities

• Lead the development and delivery of innovative and excellent teaching, learning and assessment experiences for undergraduate and postgraduate students
• Contribute to the School in terms of education quality, OBE and accreditation matters
• Contribute to the curriculum development, innovation, enhancement and quality assurance in the undergraduate and postgraduate curriculum, especially during the off-semester periods
• Work closely with the School’s Education Management Office (EMO) for efficient education-related statistics gathering and student progress tracking, especially during the off-semester periods
• Contribute to the management of education and/or administration in the School, including coaching, mentorship, leadership and effective performance management, where relevant
• Contribute to academic service responsibilities, including contributing to outcomes of the discipline and/or school meetings and/or internal committees
• Contribute to the development of strong collaborations with other universities and with government, industry and/or civil society to drive excellence and impact of education and student experience
  
  

Education/Qualifications

Key Selection Criteria:

• A doctoral qualification (PhD) or equivalent
• A strong record of successful and innovative curriculum development
• An outstanding record of teaching which demonstrates a commitment to educational innovation
• Demonstrated skills and experience in collaboration and leadership
• Ability to promote the discipline internally within the university as well as externally, both nationally and internationally
• Eligible to register with the MBOT as a Professional Technologist
• Eligible to apply for a teaching permit with the Ministry of Education
  
  

There’s a certain feeling you get from working at Monash University. It’s the feeling that you’re a part of something special. Something significant. And that’s because you’re not just starting your career, or taking on a bigger challenge. You’re making a real contribution – surrounded by energetic, inspiring people who are driven to make a difference as well. Monash is a place where you’ll be able to develop your career in exciting, sometimes unexpected ways – putting you in the best possible position for a rewarding future.

If you believe you fit this profile, we look forward to receiving your application.

Your application

Your application must address the selection criteria. Please refer toHow to apply for Monash Jobs".

Closing Date

31 December 2025 11.55pm MYT

Monash University Malaysia reserves the right to delay or not to proceed with an appointment for the above-mentioned position.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Higher Education

Referrals increase your chances of interviewing at Monash University Malaysia by 2x

Get notified about new Lecturer in Computer Science jobs in Subang Jaya, Selangor, Malaysia .

Lecturer (Software Engineering and Networking) | School of Computing

Nilai, Negri Sembilan, Malaysia 5 months ago

Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Nilai, Negri Sembilan, Malaysia 4 weeks ago

Senior Lecturer / Associate Professor (Computer Science/Software Engineering/AI) Lecturer - Computer Science/ Artificial Intelligence

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR5,000.00-MYR8,000.00 1 week ago

Lecturer (Materials/Mechanical Engineering)

Nilai, Negri Sembilan, Malaysia 2 weeks ago

Traditional Chinese Medicine (TCM) Teacher/ Lecturer

Kota Damansara, Selangor, Malaysia 3 weeks 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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*For Singapore Applicants Only : PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Job Summary:

We are seeking an AI Engineer to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities:

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.
• Build and maintain robust, scalable data pipelines to support machine learning and AI model training .
• Design and manage data architectures that enable efficient and reliable AI workflows.
• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.
• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems .
• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.
• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.
• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.
• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.
• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies .
• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.
• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.
• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.

Requirements:

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.
• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.
• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch , particularly for computer vision tasks including object detection, classification and tracking.
• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.
• Experience in application software development across multiple platforms including Windows , Linux , mobile operating systems (iOS, Android) and embedded systems .
• Strong programming skills in Python , Java and C++ , with experience in GPU-accelerated computing using CUDA and TensorRT .
• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson , Google Coral , and ARM Cortex .
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship .

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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.

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* For Singapore Applicants Only : PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa. Job Summary: We are seeking an

AI Engineer

to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication. Key Responsibilities: Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions. Build and maintain robust, scalable data pipelines to support

machine learning

and

AI model training . Design and manage data architectures that enable efficient and reliable AI workflows. Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models. Design and develop AI models and APIs, integrating them seamlessly into both

application software and embedded hardware systems . Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback. Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability. Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency. Implement

MLOps

best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation. Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using

Agile methodologies . Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations. Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions. Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes. Requirements: Min. Degree

in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields. Min. 2 years

of relevant experience in a similar role, with

hands-on experience

in designing, developing and deploying machine learning in real-world applications. Proficient in machine learning frameworks and libraries such as

TensorFlow

and

PyTorch , particularly for

computer vision tasks

including object detection, classification and tracking. Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases. Experience in application software development across multiple platforms including

Windows ,

Linux ,

mobile operating systems (iOS, Android)

and

embedded systems . Strong programming skills in

Python ,

Java

and

C++ , with experience in GPU-accelerated computing using

CUDA

and

TensorRT . Knowledge of edge computing platforms and hardware accelerators such as

NVIDIA Jetson ,

Google Coral , and

ARM Cortex . Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders. Candidates must meet legal requirements to work in Singapore

without sponsorship .

#J-18808-Ljbffr

Teaching Fellow (Computer Science, Data Science, AI)

Apply now Job no: 492768
Work type: Fixed-term (Full-time)
Location: Main campus - Malaysia
Categories: Academic - Education focused

Teaching Fellow

Job No.: 492768

School: School of Information Technology

Employment Type: Full-time

Duration: Fixed-term

• Be inspired, every day
• Take your career in exciting, rewarding directions
• Be a part of an inclusive, collaborative community

Everyone needs a platform to launch a satisfying career. At Monash, we give you space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure, and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

The Opportunity

Level B Teaching Fellows are expected to make solid contributions to teaching and learning within their school. Teaching Fellows at this level may be appointed in recognition of distinction in their disciplinary area. The position is expected to engage in high-quality education and enhancing the student learning experience of the School. S/he will play a strong leadership role in educational innovation, curriculum design and review. S/he will make an outstanding contribution inside and outside of the University, and in engagement with the community and profession, notably in areas related to teaching and learning.

Key Responsibilities

Lead the development and delivery of innovative and excellent teaching, learning and assessment experiences for undergraduate and postgraduate students

Contribute to the School in terms of education quality, OBE and accreditation matters

Contribute to the curriculum development, innovation, enhancement and quality assurance in the undergraduate and postgraduate curriculum, especially during the off-semester periods

Work closely with the School’s Education Management Office (EMO) for efficient education-related statistics gathering and student progress tracking, especially during the off-semester periods

Contribute to the management of education and/or administration in the School, including coaching, mentorship, leadership and effective performance management, where relevant

Contribute to academic service responsibilities, including contributing to outcomes of the discipline and/or school meetings and/or internal committees

Contribute to the development of strong collaborations with other universities and with government, industry and/or civil society to drive excellence and impact of education and student experience

Key Selection Criteria:

Education/Qualifications

A strong record of successful and innovative curriculum development

An outstanding record of teaching which demonstrates a commitment to educational innovation

Demonstrated skills and experience in collaboration and leadership

Ability to promote the discipline internally within the university as well as externally, both nationally and internationally

Eligible to register with the MBOT as a Professional Technologist

• Eligible to apply for a teaching permit with the Ministry of Education

There’s a certain feeling you get from working at Monash University. It’s the feeling that you’re a part of something special. Something significant. And that’s because you’re not just starting your career, or taking on a bigger challenge. You’re making a real contribution – surrounded by energetic, inspiring people who are driven to make a difference as well. Monash is a place where you’ll be able to develop your career in exciting, sometimes unexpected ways – putting you in the best possible position for a rewarding future.

If you believe you fit this profile, we look forward to receiving your application.

Monash University Malaysia reserves the right to delay or not to proceed with an appointment for the above-mentioned position.

Advertised: 20 May 2025 Singapore Standard Time
Applications close: 31 Dec 2025 Singapore Standard Time

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Teaching Fellow (Computer Science, Data Science, AI)

Apply now

Job no:

492768 Work type:

Fixed-term (Full-time) Location:

Main campus - Malaysia Categories:

Academic - Education focused

Teaching Fellow Job No.: 492768 School: School of Information Technology Employment Type:

Full-time Duration: Fixed-term Be inspired, every day Take your career in exciting, rewarding directions Be a part of an inclusive, collaborative community Everyone needs a platform to launch a satisfying career. At Monash, we give you space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure, and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers. The Opportunity Level B Teaching Fellows are expected to make solid contributions to teaching and learning within their school. Teaching Fellows at this level may be appointed in recognition of distinction in their disciplinary area. The position is expected to engage in high-quality education and enhancing the student learning experience of the School. S/he will play a strong leadership role in educational innovation, curriculum design and review. S/he will make an outstanding contribution inside and outside of the University, and in engagement with the community and profession, notably in areas related to teaching and learning. Key Responsibilities Lead the development and delivery of innovative and excellent teaching, learning and assessment experiences for undergraduate and postgraduate students Contribute to the School in terms of education quality, OBE and accreditation matters Contribute to the curriculum development, innovation, enhancement and quality assurance in the undergraduate and postgraduate curriculum, especially during the off-semester periods Work closely with the School’s Education Management Office (EMO) for efficient education-related statistics gathering and student progress tracking, especially during the off-semester periods Contribute to the management of education and/or administration in the School, including coaching, mentorship, leadership and effective performance management, where relevant Contribute to academic service responsibilities, including contributing to outcomes of the discipline and/or school meetings and/or internal committees Contribute to the development of strong collaborations with other universities and with government, industry and/or civil society to drive excellence and impact of education and student experience Key Selection Criteria: Education/Qualifications A strong record of successful and innovative curriculum development An outstanding record of teaching which demonstrates a commitment to educational innovation Demonstrated skills and experience in collaboration and leadership Ability to promote the discipline internally within the university as well as externally, both nationally and internationally Eligible to register with the MBOT as a Professional Technologist Eligible to apply for a teaching permit with the Ministry of Education There’s a certain feeling you get from working at Monash University. It’s the feeling that you’re a part of something special. Something significant. And that’s because you’re not just starting your career, or taking on a bigger challenge. You’re making a real contribution – surrounded by energetic, inspiring people who are driven to make a difference as well. Monash is a place where you’ll be able to develop your career in exciting, sometimes unexpected ways – putting you in the best possible position for a rewarding future. If you believe you fit this profile, we look forward to receiving your application. Monash University Malaysia reserves the right to delay or not to proceed with an appointment for the above-mentioned position. Advertised:

20 May 2025 Singapore Standard Time Applications close:

31 Dec 2025 Singapore Standard Time

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Prompt Engineering : Design, test, and refine effective prompts for generative AI systems (e.g., ChatGPT, Claude, Gemini) to power chatbots, dynamic game content, player assistance tools, and marketing personalization.

Contextual Optimization : Build structured prompt templates that maintain tone, compliance, and brand alignment while adapting to various user scenarios—customer service, VIP support, onboarding, etc.

Knowledge Embedding : Fine-tune prompts to integrate internal knowledge bases, game rules, regulatory policies, FAQs, and historical player behavior for more accurate and helpful AI outputs.

Data-Driven Tuning : Analyze AI output quality, hallucination rates, latency, and relevance to iteratively improve prompt structure and effectiveness.

Multi-Modal Coordination : Collaborate with product teams to design prompts for multimodal use cases (text, voice, in-game prompts, live dealer support).

Compliance Alignment : Ensure all prompt outputs adhere to responsible gaming guidelines, legal jurisdictions, and ethical communication standards.

Testing & Versioning : Conduct A/B testing and experiments across multiple prompt variants to determine performance and optimize outcomes.

Cross-Functional Collaboration : Work with game designers, customer support leads, and content creators to align AI communication with product and player experience goals.

Requirements

2+ years experience with LLM prompt engineering, NLP model tuning, or AI content development.

Deep understanding of generative AI models (GPT, Claude, PaLM, etc.) and prompt design principles.

Strong command of language, tone, and structured prompt techniques (zero-shot, few-shot, chain-of-thought, etc.).

Ability to interpret AI output and optimize prompts based on relevance, clarity, and factual accuracy.

Experience with tools like LangChain, PromptLayer, or custom LLM orchestration platforms.

Basic scripting or API integration skills (Python preferred).

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Your IT Future, Delivered AI Engineer (Python, Gen AI)

With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions . We work beyond global borders and push boundaries across all dimensions of logistics . You can leave your mark shaping the technology backbone of the world's largest logistics company. Our offices in Cyberjaya, Prague, and Chennai have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

Digitalization. Simply delivered.
At IT Services, we are passionate about technology. Our team is continuously expanding. Regardless of your level of architecture proficiency, you can grow within our diverse environment.

#DHL #DHLITServices #GreatPlace

Grow together

The role of an AI Engineer is to be a pathfinder for the Engineering team. AI Engineers need to understand ground challenges and find solutions to improve efficiency in delivering solutions faster. An AI Engineer is proficient in leveraging AI tools to apply real-world use cases for better productivity.

Ready to embark on this journey? Here’s what we are looking for:

As an AI Engineer , experience with Python, Prompt Engineering, Generative AI models, and AI use case application is required. Knowledge of AI workflow tools such as LangChain and n8n is a significant plus to help improve our business and IT processes with better efficiency, breaking down tasks to use the right learning models, grounded via “context engineering” using RAG and MCP protocols to ensure relevant and high-quality results.

Additionally, you should be able to work independently, prioritize, and organize your tasks under time and workload pressures. Working in a multinational environment, cross-region collaboration with global teams is expected, so proficiency in spoken and written English is essential.

Benefits for you include:

• Hybrid work arrangements for in-office and remote work.
• Unlimited outpatient and inpatient medical coverage.
• Personalized flexi benefit plans for you and your family.
• Option to take any day off from public holidays, including Saturdays and ad-hoc holidays.
• Modern offices with free parking.

Great Team

Hi, I’m Erick Chen, Head of Subdomain for Pickup, Delivery, and Clearance within our IT Services Express Solution business. Since starting at DHL IT Services in 2018, I’ve progressed from Principal Architect to Team Manager and now Head of Subdomain. My passion is in Architecture, and I work with a diverse, multinational team focused on innovative technology. We welcome talented members to join our team!

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

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