404 Model Training jobs in Malaysia
Software Engineer, AI Model Training - Team Lead
Posted 9 days ago
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Software Engineer, AI Model Training - Team Lead
Job Openings Software Engineer, AI Model Training - Team Lead
About the job Software Engineer, AI Model Training - Team LeadKey Responsibilities
Team Leadership and Management:
Supervise and lead a team of coders/developers working on AI training data tasks, ensuring productivity, quality, and efficiency standards are met.
Provide daily guidance, mentoring, and support to team members to foster growth and maintain a positive work environment.
Conduct performance evaluations, provide regular feedback, and support professional development for team members.
Organize and schedule shifts and tasks, ensuring adequate coverage and that deadlines are met.
Quality Assurance:
Ensure the work produced by the team adheres to strict quality standards in terms of accuracy, efficiency, and consistency for AI training datasets.
Conduct regular reviews of the code and training data submitted by team members to ensure they align with project specifications.
Implement continuous improvements for coding processes to enhance the quality and effectiveness of AI model training.
Client Communication and Reporting:
Act as the primary point of contact for clients regarding project updates, timelines, and progress.
Prepare and present regular reports on team performance, project status, and any issues or risks to both internal and external stakeholders.
Address client inquiries, concerns, and feedback, ensuring client satisfaction and maintaining positive relationships.
Training and Development:
Facilitate training programs to upskill team members in coding, AI training datasets, and the specific needs of AI model training.
Stay updated with the latest trends in AI technologies, machine learning, and coding best practices, and share this knowledge with the team.
Performance Monitoring and KPI Management:
Define and track key performance indicators (KPIs) for team productivity, quality, and project delivery.
Implement corrective actions where necessary to ensure continuous performance improvement.
Create and maintain performance dashboards and regular team metrics reports for management review.
Problem Solving and Issue Resolution:
Address team or project challenges, providing solutions to technical, logistical, or communication issues as they arise.
Escalate any critical issues that cannot be resolved at the team level to higher management in a timely manner.
Qualifications
- Bachelors degree in Computer Science, Engineering, or a related field. A Masters degree is a plus.
- 3+ years of experience in a coding or software development role, with a focus on AI, machine learning, or data annotation.
- 2+ years of experience in a leadership or management position, ideally in a BPO or outsourcing environment.
- Familiarity with AI model training processes, including the creation of training datasets and the technical aspects of machine learning.
- Excellent leadership skills with the ability to manage, motivate, and develop a team.
- Strong problem-solving skills, with the ability to analyze data and resolve issues effectively.
- Experience with project management tools (e.g., Jira, Asana, Trello) a plus
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Why Join Gear Inc?Competitive salary and benefits package.
Dynamic and inclusive work environment.
Opportunities for professional growth and development.
Be part of a company with a global presence and an innovative mindset.
#J-18808-LjbffrSoftware Engineer, AI Model Training - Team Lead
Posted 9 days ago
Job Viewed
Job Description
Job Openings Software Engineer, AI Model Training - Team Lead About the job Software Engineer, AI Model Training - Team Lead
Key Responsibilities Team Leadership and Management: Supervise and lead a team of coders/developers working on AI training data tasks, ensuring productivity, quality, and efficiency standards are met. Provide daily guidance, mentoring, and support to team members to foster growth and maintain a positive work environment. Conduct performance evaluations, provide regular feedback, and support professional development for team members. Organize and schedule shifts and tasks, ensuring adequate coverage and that deadlines are met. Quality Assurance: Ensure the work produced by the team adheres to strict quality standards in terms of accuracy, efficiency, and consistency for AI training datasets. Conduct regular reviews of the code and training data submitted by team members to ensure they align with project specifications. Implement continuous improvements for coding processes to enhance the quality and effectiveness of AI model training. Client Communication and Reporting: Act as the primary point of contact for clients regarding project updates, timelines, and progress. Prepare and present regular reports on team performance, project status, and any issues or risks to both internal and external stakeholders. Address client inquiries, concerns, and feedback, ensuring client satisfaction and maintaining positive relationships. Training and Development: Facilitate training programs to upskill team members in coding, AI training datasets, and the specific needs of AI model training. Stay updated with the latest trends in AI technologies, machine learning, and coding best practices, and share this knowledge with the team. Performance Monitoring and KPI Management: Define and track key performance indicators (KPIs) for team productivity, quality, and project delivery. Implement corrective actions where necessary to ensure continuous performance improvement. Create and maintain performance dashboards and regular team metrics reports for management review. Problem Solving and Issue Resolution: Address team or project challenges, providing solutions to technical, logistical, or communication issues as they arise. Escalate any critical issues that cannot be resolved at the team level to higher management in a timely manner. Qualifications - Bachelors degree in Computer Science, Engineering, or a related field. A Masters degree is a plus. - 3+ years of experience in a coding or software development role, with a focus on AI, machine learning, or data annotation. - 2+ years of experience in a leadership or management position, ideally in a BPO or outsourcing environment. - Familiarity with AI model training processes, including the creation of training datasets and the technical aspects of machine learning. - Excellent leadership skills with the ability to manage, motivate, and develop a team. - Strong problem-solving skills, with the ability to analyze data and resolve issues effectively. - Experience with project management tools (e.g., Jira, Asana, Trello) a plus - Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Why Join Gear Inc?
Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and development. Be part of a company with a global presence and an innovative mindset.
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AI Development Team Lead
Posted 17 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 17 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.
HRIT & AI Development Intern
Posted today
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Job Description
About Our Group
Seagate Human Resources Information Technology (HRIT) team supports full life-cycle delivery and ongoing support of strategic technology initiatives primarily for the Human Resources business units.
About The Role - You Will
Support integration development and web application development covering incident resolution and enhancement.
AI Strategy & Automation
- AI Exploration & Proof of Concept: Actively research and evaluate emerging AI, Generative AI, and Machine Learning (ML) technologies to identify opportunities for strategic application within the HR and IT landscapes.
- Develop AI-Driven Test Agents: Design and implement AI Agents and large language model (LLM) powered tools to enhance our Software Development Lifecycle (SDLC), specifically focusing on test case generation, automated regression testing, and quality assurance (QA) for integrated and web applications.
- Innovation & Process Improvement: Collaborate with IT and HR teams to transition successful AI prototypes and exploration findings into actionable, long-term development strategies.
Integration Development
- Manages data analysis and data integration of disparate systems.
- Works with IT application owners to identify requirements to satisfy business needs.
- Translates functional specifications into technical designs for implementation and deployment.
- Builds extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the business.
- Implements processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources.
- Optimizes data integration platform to provide optimal performance under increasing data volumes.
- Develops data integration standards according to the organization's information services policies as well as best practices.
- Conducts review of other integration developers' development efforts to ensure consistent methodologies are followed and to make recommendations where necessary.
- Ensure high quality and optimum performance of data integration systems in order to meet business solutions.
- Participates in incident resolution and/or problem analysis as L3
Web Application Development
- Develop and maintain Java or .NET web applications that meet the specifications
- Continuous improvement by investigating alternatives and technologies in support of systems development efforts
- Communicate regularly with senior and executive management on matters concerning development issues and roll-outs
About You
We're looking for a proactive, eager-to-learn individual who is ready to jump into both core IT systems and cutting-edge AI development.
- Well versed in Object-Oriented Programming (OOP) and methodology (e.g., Java, C#, Python).
- Demonstrated foundational knowledge of AI/ML concepts and principles (e.g., neural networks, natural language processing).
- Proactive and forward-thinking attitude and creative problem-solving ability.
Your Experience Includes
- Currently majoring in Artificial Intelligence (AI), Computer Science, Data Science, or a closely related field.
- Experience on web application development assignments will be an advantage.
Location:
Our Penang office is located in Suntech at Cybercity, easily accessible via public transportation and offering ample free on-site parking. Enjoy amenities such as an on-site gym, ping-pong and badminton facilities, and a café serving breakfast, lunch, and coffee. Prefer dining out? A public food court across the street offers a variety of delicious options.
Location
: Penang Malaysia Suntech
Travel
: None
AI Development Team Lead
Posted 11 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.
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AI Development Team Lead
Posted 11 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.
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Industrial Trainee (AI Development) Job
Posted 9 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.
#J-18808-LjbffrIndustrial Trainee (AI Development) Job
Posted 4 days ago
Job Viewed
Job Description
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 Required Profile
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
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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intern - ai material development
Posted today
Job Viewed
Job Description
- Assist in the research and development of AI-based learning materials for education and publishing.
- Support the team in designing, testing, and refining AI-generated content
- Work with supervisors to analyze data and evaluate AI-generated outputs for accuracy, quality, and usability.
- Contribute creative ideas to improve existing content development processes using AI tools.
- Assist in documentation and reporting of project progress, including compiling research findings and testing results.
- Collaborate with cross-functional teams (content creators, editors, designers) to ensure AI-generated material meets company standards.
- Perform other related tasks as assigned by the supervisor.
Job Type: Internship
Contract length: 3 months
Pay: RM RM600.00 per month
Work Location: In person