44 Neural Networks jobs in Malaysia

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.

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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Category: Information Systems & Technology

Posting Date: Mar 17, 2025

• 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.

Category: Information Systems & Technology

Posting Date: Mar 17, 2025

• 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.

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.

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 .

Job 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

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

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.

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.

Direct message the job poster from AI Sales DR (pronounced AI Sales Doctor)

About Us: AI Sales DR is an AI Services startup that is at the forefront of shaping the future of Sales function in the era of AI in Asia. We provide AI-led lead generation solution to B2B customers across Asia. Our core values are 1) Customer Centricity (we offer money back guarantees for our solutions) and 2) Employees grow before the Company grow (clearly defined career path & promotion timeline due to our promote from within culture). We pride ourselves on our diverse and inclusive work culture, where every team member is valued and respected.

Job Description: As a resourceful, fluent English-speaking Sales Development Representative (SDR) at AI Sales DR, you will play a crucial role in using our proprietary AI technology to deliver results that exceed the expectations of our customers. You will be responsible for identifying and qualifying prospects & generating leads by setting up discovery meetings or calls for our customers via email campaigns and cold calling. This is in partnership with our GTM engineer, to jointly reinvent the Sales function in the era of AI and contribute inputs towards the building of Agentic AI workflows & automation. This role requires a proactive and motivated individual who is eager to learn and grow.

Key Responsibilities:

• Lead Research & Prospecting

- Research and identify potential leads across LinkedIn, Google etc. with the aid of AI tools,

- Enrich contacts via leading tools & obtain verified contacts,

- Research and profile key decision-makers at target companies.

- Set up and execute hyper-personalised outbound email campaigns using our AI tools and email marketing/automation platforms (e.g. Instantly, Lemlist, Mailjet),

- Analyse email campaigns, optimize email automation and act on signals with cold calls,

- Coordinate and schedule follow-ups with interested prospects and our customers.

• Cold Calling & Lead Qualification

- Make cold calls in fluent English to follow up on email leads or direct cold calls without fear,

- Qualify the lead, gather key information, and book meetings or calls for our customers,

- Handle objections professionally and build rapport with prospects.

• Maintain CRM hygiene and Customer reporting

- Maintain CRM hygiene via data accuracy in CRM and other systems,

- Organize lead data clearly and track progress,

- Provide Customer reporting related to outreach efforts with our AI tools and adjust campaigns as per discussions & strategic realignment with customers to maximize impact and customer’s satisfaction.

Success in this role means a) meeting or exceeding pipeline and quota goals and contributing to the overall success of the sales team by generating qualified discovery meetings for the customers’ Account Executives and b) in depth collaboration with our GTM engineer to analyse & identify critical paths, bottlenecks and to jointly invent new AI agentic workflows.

Requirements:

·Fluent spoken and written English – this is non-negotiable as cold calling is a key part of the role

·Minimum of 1+ years of strong experience in sales outreach & lead generation .

·Proven ability to make professional cold calls and handle client conversations with confidence

·Familiarity with email marketing tools and basic campaign setup and sales tools such as HubSpot, LinkedIn Sales Navigator, etc.

·Excellent organizational and time management skills

·Self-motivated, resourceful, and reliable – able to work independently and hit deadlines

CAREER PROGRESSION AND GROWTH PATH:

·We offer a clear career advancement path within 6-9 months, with opportunities to progress to senior sales or account management roles, such as Account Executive or SDR Manager.

·We have a strong bias for ambitious candidates who is determined to learn, grow & ready to go the extra mile to invest in their own career growth.

Professional Development and Support:

·We are committed to your continuous improvement and professional development. We offer ongoing coaching, call reviews, and enablement resources to help you succeed in your role & prepare you for promotion.

·Our training and mentorship programs are designed & delivered by experienced professionals from ex-Google, ex-Microsoft, ex-Oracle to support your growth and ensure you have the tools you need to excel.

Remuneration: Annual OTE range of MYR 48,000 to MYR 100,000 annually / MYR 4,000 to MYR 8,333 per month, as well as Employee Stock Options of an early-stage AI Services startup.

• Seniority level Entry level

• Employment type Full-time

• Job function Sales and Business Development
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at AI Sales DR (pronounced AI Sales Doctor) by 2x

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