266 AI Development jobs in Malaysia
AI Development Architect
Posted 3 days ago
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Job Description
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub .
Description and Requirements
We are seeking an experienced and innovative AI Development Architect to lead the development of Lenovo’s AI technology platform. This role is responsible for designing and delivering core AI infrastructure components, including GenAI-based model development platforms, enterprise knowledge & data platform, and intelligent agents. The ideal candidate will combine strong software engineering skills with deep expertise in GenAI technologies to drive scalable, intelligent solutions across Lenovo’s product ecosystem.
Key Responsibilities:
1. Product Development & Technical Leadership:
Lead the design and development of Lenovo’s AI technology platform, including GenAI-powered model training and inference pipelines, RAG-based knowledge systems, and intelligent agents.
Collaborate with product and other teams to integrate AI capabilities into enterprise products and services.
Evaluate and adopt leading GenAI frameworks, tools, and best practices to accelerate innovation.
2. Global Team Collaboration:
Partner with global engineering teams in Malaysia, Singapore, and other locations to drive AI infrastructure development.
Establish standards and reusable components to ensure consistency and reusability across projects.
Mentor engineers and promote cross-functional collaboration in AI solution design.
3. Customer & Business Support:
Work with solution and product teams to define and deliver customer-specific AI solutions.
Participate in technical consulting, POCs, and real-world deployment of AI applications.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in enterprise software development, with at least 3 years of hands-on experience in AI/ML or GenAI platform architecture.
- Strong programming proficiency in Java and Python, with solid experience in Spring and Spring Cloud frameworks.
- Familiarity with relational databases such as PostgreSQL and MySQL.
- Hands-on experience with Docker, Kubernetes, Git, and modern CI/CD pipelines.
- Solid understanding of DevOps practices and Scrum-based agile development.
- In-depth knowledge of GenAI technologies including transformers, fine-tuning, inference, RAG (Retrieval-Augmented Generation), and agent frameworks.
- Experience with GenAI tools such as LangChain, LangGraph, or similar open-source frameworks.
- Demonstrated success in delivering real-world GenAI applications such as AI assistants, copilots, content generation tools, or knowledge bots.
- Familiarity with LLM serving, vector databases, and open-source model integration is a strong plus.
- Excellent communication and collaboration skills; fluent in English and experienced working in global, cross-functional teams.
If you require an accommodation to complete this application, please
#J-18808-LjbffrAI Development Architect
Posted today
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AI Development Team Lead
Posted 3 days ago
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Job Description
Job Summary:
The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals.
Key Responsibilities:
Strategic Planning & Execution
• Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs.
• Translate high-level strategy into actionable technical tasks and sprint plans.
• Evaluate and recommend AI technologies, platforms, tools, and best practices.
Team Leadership & Management
• Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists).
• Conduct regular one-on-ones, performance reviews, and skill gap assessments.
• Promote a collaborative, transparent, and accountable team environment.
Technical Oversight
• Oversee design, development, testing, deployment, and maintenance of AI/ML models.
• Perform code reviews, model validation, and ensure adherence to engineering standards.
• Identify and resolve technical bottlenecks, support experimentation and innovation.
Project Management
• Manage project timelines, resource allocation, risk assessments, and reporting.
• Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Monitor and report on progress, blockers, and deliverables to HOD and stakeholders.
Cross-Functional Collaboration
• Work closely with product managers, data engineers, software teams, and business stakeholders.
• Ensure AI models and systems integrate well with broader platforms or customer touchpoints.
• Translate business questions into data science problems and actionable models.
Governance, Ethics & Compliance
• Ensure all AI/ML developments comply with data privacy laws and AI ethics standards.
• Define policies for model retraining, versioning, and explainability.
Qualifications & Skills:
Education:
• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus.
Experience:
• 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role.
• Proven experience in deploying ML models into production (real-time or batch).
• Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc.
Technical Proficiency:
• Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc.
• Experience with model lifecycle: training, tuning, deployment, and monitoring.
• Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI.
• Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines.
• Experience working with cloud platforms: AWS, GCP, Azure.
Soft Skills:
• Excellent communication and stakeholder management skills.
• Strong leadership, team-building, and conflict resolution skills.
• Analytical mindset with attention to both big-picture strategy and technicaldetail.
AI Development Team Lead
Posted 3 days ago
Job Viewed
Job Description
Job Summary:
The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals.
Key Responsibilities:
Strategic Planning & Execution
• Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs.
• Translate high-level strategy into actionable technical tasks and sprint plans.
• Evaluate and recommend AI technologies, platforms, tools, and best practices.
Team Leadership & Management
• Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists).
• Conduct regular one-on-ones, performance reviews, and skill gap assessments.
• Promote a collaborative, transparent, and accountable team environment.
Technical Oversight
• Oversee design, development, testing, deployment, and maintenance of AI/ML models.
• Perform code reviews, model validation, and ensure adherence to engineering standards.
• Identify and resolve technical bottlenecks, support experimentation and innovation.
Project Management
• Manage project timelines, resource allocation, risk assessments, and reporting.
• Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Monitor and report on progress, blockers, and deliverables to HOD and stakeholders.
Cross-Functional Collaboration
• Work closely with product managers, data engineers, software teams, and business stakeholders.
• Ensure AI models and systems integrate well with broader platforms or customer touchpoints.
• Translate business questions into data science problems and actionable models.
Governance, Ethics & Compliance
• Ensure all AI/ML developments comply with data privacy laws and AI ethics standards.
• Define policies for model retraining, versioning, and explainability.
Qualifications & Skills:
Education:
• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus.
Experience:
• 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role.
• Proven experience in deploying ML models into production (real-time or batch).
• Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc.
Technical Proficiency:
• Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc.
• Experience with model lifecycle: training, tuning, deployment, and monitoring.
• Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI.
• Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines.
• Experience working with cloud platforms: AWS, GCP, Azure.
Soft Skills:
• Excellent communication and stakeholder management skills.
• Strong leadership, team-building, and conflict resolution skills.
• Analytical mindset with attention to both big-picture strategy and technicaldetail.
AI Development Team Lead
Posted today
Job Viewed
Job Description
Job Summary: The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals. Key Responsibilities: Strategic Planning & Execution • Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs. • Translate high-level strategy into actionable technical tasks and sprint plans. • Evaluate and recommend AI technologies, platforms, tools, and best practices. Team Leadership & Management • Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists). • Conduct regular one-on-ones, performance reviews, and skill gap assessments. • Promote a collaborative, transparent, and accountable team environment. Technical Oversight • Oversee design, development, testing, deployment, and maintenance of AI/ML models. • Perform code reviews, model validation, and ensure adherence to engineering standards. • Identify and resolve technical bottlenecks, support experimentation and innovation. Project Management • Manage project timelines, resource allocation, risk assessments, and reporting. • Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives). • Monitor and report on progress, blockers, and deliverables to HOD and stakeholders. Cross-Functional Collaboration • Work closely with product managers, data engineers, software teams, and business stakeholders. • Ensure AI models and systems integrate well with broader platforms or customer touchpoints. • Translate business questions into data science problems and actionable models. Governance, Ethics & Compliance • Ensure all AI/ML developments comply with data privacy laws and AI ethics standards. • Define policies for model retraining, versioning, and explainability. Qualifications & Skills: Education: • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields. • Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus. Experience: • 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role. • Proven experience in deploying ML models into production (real-time or batch). • Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc. Technical Proficiency: • Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc. • Experience with model lifecycle: training, tuning, deployment, and monitoring. • Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI. • Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines. • Experience working with cloud platforms: AWS, GCP, Azure. Soft Skills: • Excellent communication and stakeholder management skills. • Strong leadership, team-building, and conflict resolution skills. • Analytical mindset with attention to both big-picture strategy and technicaldetail.
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AI Development Team Lead
Posted today
Job Viewed
Job Description
Job Summary: The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals. Key Responsibilities: Strategic Planning & Execution • Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs. • Translate high-level strategy into actionable technical tasks and sprint plans. • Evaluate and recommend AI technologies, platforms, tools, and best practices. Team Leadership & Management • Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists). • Conduct regular one-on-ones, performance reviews, and skill gap assessments. • Promote a collaborative, transparent, and accountable team environment. Technical Oversight • Oversee design, development, testing, deployment, and maintenance of AI/ML models. • Perform code reviews, model validation, and ensure adherence to engineering standards. • Identify and resolve technical bottlenecks, support experimentation and innovation. Project Management • Manage project timelines, resource allocation, risk assessments, and reporting. • Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives). • Monitor and report on progress, blockers, and deliverables to HOD and stakeholders. Cross-Functional Collaboration • Work closely with product managers, data engineers, software teams, and business stakeholders. • Ensure AI models and systems integrate well with broader platforms or customer touchpoints. • Translate business questions into data science problems and actionable models. Governance, Ethics & Compliance • Ensure all AI/ML developments comply with data privacy laws and AI ethics standards. • Define policies for model retraining, versioning, and explainability. Qualifications & Skills: Education: • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields. • Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus. Experience: • 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role. • Proven experience in deploying ML models into production (real-time or batch). • Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc. Technical Proficiency: • Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc. • Experience with model lifecycle: training, tuning, deployment, and monitoring. • Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI. • Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines. • Experience working with cloud platforms: AWS, GCP, Azure. Soft Skills: • Excellent communication and stakeholder management skills. • Strong leadership, team-building, and conflict resolution skills. • Analytical mindset with attention to both big-picture strategy and technicaldetail.
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Industrial Trainee (AI Development) Job
Posted 3 days ago
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Category: Information Systems & Technology
Posting Date: Mar 17, 2025
Job Responsibilities- Develop a prototype multi-agent chatbot system that can:
- Search and synthesize company information from public sources
- Analyze sales data and identify business opportunities
- Retrieve and analyze relevant internal documents
- Maintain context through multi-turn conversations
- Python programming
- Basic understanding of AI/ML concepts
- Strong analytical skills
- Self-motivated learner
Who we are? Arkema is a world leader in Innovative Materials for a Sustainable World with the ambition to become a pure Specialty Materials player.
We thrive as One Arkema , comprised of many businesses and brands including Bostik, ArrMaz, and more! and operating with a global reach in 55 countries with more than 21,100 employees. Each one contributes to positioning Arkema as a recognized leader of specialty chemicals and advanced materials, reporting annual sales of €9.5 billion, of which 2.9% allocated to R&D for 1,800 researchers in 17 R&D centers.
If you pursue excellence, love innovation and are inspired by challenges , we encourage you through to learn more about our values – Solidarity, Performance, Simplicity, Empowerment, and Inclusion – and how we concentrate on advances in bio-based and recyclable materials, new energies, water management, electronic solutions, lightweight materials and design, home efficiency and insulation.
Changing the world requires the right formula. The right formula consists of our innovative and sustainable materials, and you. Join us to develop the materials of tomorrow and make a difference together. What are you made of?
The legal information below pertains specifically to positions posted in the United States , however we strive for diversity, equity and inclusion in all the countries that we hire.
Arkema Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Arkema Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting and hiring.
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About the latest Ai development Jobs in Malaysia !
Industrial Trainee (AI Development) Job
Posted 10 days ago
Job Viewed
Job Description
Category: Information Systems & Technology
Posting Date: Mar 17, 2025
Job Responsibilities- Develop a prototype multi-agent chatbot system that can:
- Search and synthesize company information from public sources
- Analyze sales data and identify business opportunities
- Retrieve and analyze relevant internal documents
- Maintain context through multi-turn conversations
- Python programming
- Basic understanding of AI/ML concepts
- Strong analytical skills
- Self-motivated learner
Arkema is a world leader in Innovative Materials for a Sustainable World with the ambition to become a pure Specialty Materials player. We thrive as One Arkema , comprised of many businesses and brands including Bostik, ArrMaz, and more! and operating with a global reach in 55 countries with more than 21,100 employees.
If you pursue excellence, love innovation and are inspired by challenges , we encourage you through to learn more about our values – Solidarity, Performance, Simplicity, Empowerment, and Inclusion.
Diversity and InclusionThe legal information below pertains specifically to positions posted in the United States , however we strive for diversity, equity and inclusion in all the countries that we hire. Arkema Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
#J-18808-LjbffrSenior Manager, AI Cloud Development
Posted 17 days ago
Job Viewed
Job Description
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub .
Description and RequirementsJob Summary:
We are looking for a highly experienced and visionary Senior Manager to lead Lenovo’s global AI Cloud development team. This role is responsible for driving product global R&D operations across AIOps, multi-cloud management, private cloud, cloud-native platforms, and AI Tech platforms. The ideal candidate will also spearhead the expansion and management of a global development team to support international business growth.
Key Responsibilities:
1. Product Development & Technical Leadership:
Lead the development, and delivery of Lenovo AI cloud products, including AIOps, multi-cloud management, private cloud platforms, cloud-native platforms, and AI Tech platforms.
Drive architectural innovation, ensure product scalability, reliability, and performance.
Establish and optimize engineering practices, development standards, and quality controls.
2. Global Team Building & Management:
Build and manage an international R&D team primarily based in Malaysia, Singapore, and Hong Kong.
Foster collaboration across regions and cultures to enable high-performing, distributed development.
Mentor and grow local talent, developing a strong and scalable technical team.
3. International Business & Customer Engagement:
Collaborate closely with overseas product and solution teams to provide tailored development and delivery support.
Engage with global customers to understand needs and deliver solutions that drive value.
Support business development teams in identifying technical opportunities and achieving commercial goals.
Qualifications:
- Bachelor's degree or above in Computer Science, Software Engineering, or related fields.
- 10+ years of experience in software development and engineering leadership.
- Proven expertise in cloud technologies such as AIOps, cloud-native, OpenStack, DevOps, GenAI and hybrid/multi-cloud infrastructure.
- Strong track record in managing global teams and cross-cultural collaboration.
- Experience in supporting international markets and enterprise clients.
- Fluent in English with excellent communication and stakeholder management skills.
- Strong business acumen, results-oriented mindset, and leadership capabilities.
If you require an accommodation to complete this application, please
#J-18808-LjbffrSenior Manager, AI Cloud Development
Posted 18 days ago
Job Viewed
Job Description
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
We are looking for a highly experienced and visionary Senior Manager to lead Lenovo’s global AI Cloud development team. This role is responsible for driving product global R&D operations across AIOps, multi-cloud management, private cloud, cloud-native platforms, and AI Tech platforms. The ideal candidate will also spearhead the expansion and management of a global development team to support international business growth.
Key Responsibilities:
1. Product Development & Technical Leadership:
Lead the development, and delivery of Lenovo AI cloud products, including AIOps, multi-cloud management, private cloud platforms, cloud-native platforms, and AI Tech platforms.
Drive architectural innovation, ensure product scalability, reliability, and performance.
Establish and optimize engineering practices, development standards, and quality controls.
2. Global Team Building & Management:
Build and manage an international R&D team primarily based in Malaysia, Singapore, and Hong Kong.
Foster collaboration across regions and cultures to enable high-performing, distributed development.
Mentor and grow local talent, developing a strong and scalable technical team.
3. International Business & Customer Engagement:
Collaborate closely with overseas product and solution teams to provide tailored development and delivery support.
Engage with global customers to understand needs and deliver solutions that drive value.
Support business development teams in identifying technical opportunities and achieving commercial goals.
Qualifications:
- Bachelor's degree or above in Computer Science, Software Engineering, or related fields.
- 10+ years of experience in software development and engineering leadership.
- Proven expertise in cloud technologies such as AIOps, cloud-native, OpenStack, DevOps, GenAI and hybrid/multi-cloud infrastructure.
- Strong track record in managing global teams and cross-cultural collaboration.
- Experience in supporting international markets and enterprise clients.
- Fluent in English with excellent communication and stakeholder management skills.
- Strong business acumen, results-oriented mindset, and leadership capabilities.
If you require an accommodation to complete this application, please
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