1,611 AI & Emerging Technologies jobs in Malaysia

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a team located on 5 continents. Razer is also a great place to work, providing a unique, gamer-centric #LifeAtRazer experience that promotes accelerated growth, both personally and professionally.

Job Responsibilities:

The AIOps Engineer will lead the transformation of IT operations through the strategic use of Artificial Intelligence (AI), Machine Learning (ML), Big Data analytics, and Robotic Process Automation (RPA). This role involves architecting and deploying innovative automated solutions, including intelligent tools for actionable insights, utilizing leading RPA platforms, advanced machine learning algorithms, and robust data analysis frameworks. The engineer will drive innovation by pioneering new approaches and technologies to improve the performance and agility of backend, infrastructure, operational, and finance teams.

Essential Duties and Responsibilities:

• Design and implement AI/ML algorithms to enhance IT operational efficiency and resilience.
• Develop scalable AI platforms for predictive analytics and proactive system optimization.
• Deploy machine learning models for automated incident resolution and operational intelligence.
• Build advanced data analytics systems to extract actionable insights from big data.
• Create interactive dashboards for real-time monitoring of key operational metrics and trends.
• Formulate data strategies to maximize value and drive continuous IT improvements.
• Identify and implement RPA solutions to automate repetitive tasks and streamline workflows.
• Collaborate with cross-functional teams to integrate AI, data analytics, and RPA for improved IT operations.
• Communicate effectively with both technical and non-technical stakeholders.
• Adapt flexibly to additional tasks and evolving priorities, ensuring alignment with organizational goals.

Requirements:

• Bachelor's degree in Computer Science, IT, or related field; 3+ years of relevant experience.
• Proficiency in at least two programming languages or frameworks (e.g., Python, Django, PHP, Laravel, LangGraph).
• Experience in data preparation, model training, and big data analytics using tools like Kafka, Anaconda, Jupyter Lab.
• Expertise in advanced AI/ML techniques, including LLM fine-tuning, reinforcement learning, and generative AI frameworks (e.g., Hugging Face Transformers, LangChain).
• Experience with vector databases and retrieval-augmented generation (RAG) techniques.
• Hands-on experience with RPA technologies (e.g., Automation Anywhere 360) and AI/ML solution development.
• Solid experience with relational and NoSQL databases (e.g., MySQL, MariaDB, CouchDB, Redis) and SQL.
• Knowledge of version control (Git), Agile methodologies, and CI/CD pipelines.
• Experience with cloud platforms (AWS, Azure) and containerization (Docker).
• Exposure to AIOps practices, including model deployment, monitoring, and automated retraining using tools like MLflow, Kubeflow, or Vertex AI.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively.
• Ability to work independently, manage multiple projects, and adapt in a dynamic environment.

Pre-Requisites:

Are you game?

At CARSOME, we are at the forefront of the data revolution. We build intelligent, scalable products that empower our stakeholders to make smarter decisions and unlock new opportunities. Our teams of world-class engineers, data scientists, and researchers work together to tackle complex challenges, transforming raw data into actionable insights. As we continue to expand our suite of AI-driven products, we are looking for a visionary product leader to guide our strategy and execution.

This is not just another product manager role. We are seeking a strategic and technically-savvy Senior AI Product Manager to own the vision, roadmap, and success of our entire portfolio of AI products. While this includes established products like our internal intelligence platforms, your primary focus will be on the overarching strategy that connects all our data assets and leveraging latest AI capabilities.

You will be the central point of contact for all things related to our AI products, working at the intersection of business, technology, and user experience. You will collaborate closely with Data Science, Engineering, Commercial and Research teams to define what's next and drive the development of innovative solutions that deliver immense value to our stakeholders and the market.

• Product Strategy & Vision:
  • Define and articulate a clear, compelling product vision and strategy for the entire AI product portfolio.
  • Develop and maintain a prioritized product roadmap that aligns with company goals, market opportunities, and technical feasibility.
  • Conduct continuous market research, competitive analysis, and customer discovery to identify new opportunities and ensure product-market fit.
• Execution & Delivery:
  • Translate product strategy into detailed requirements, user stories, and product specifications (PRDs).
  • Work hand-in-hand with Agile development teams, including data scientists and ML engineers, to ensure timely and high-quality delivery.
  • Define, monitor, and analyze key product metrics to measure success, and use this data to inform your roadmap and backlog prioritization.
  • Manage the entire product lifecycle from concept and ideation through to launch, iteration, and end-of-life.
• Collaboration & Stakeholder Management:
  • Act as the primary liaison between technical teams (Data Science, Engineering, Research) and business stakeholders (Sales, Marketing, Leadership).
  • Communicate complex technical concepts and product decisions clearly and persuasively to a wide range of audiences.
  • Champion a culture of data-driven decision-making and collaboration across the organization.
• Data & AI Expertise:
  • Partner with the Data Science and Business Intelligence teams to define data requirements, validation processes, and success criteria for machine learning models.
  • Develop a deep understanding of our data architecture, model lifecycle, and AI capabilities to guide product decisions.
  • Ensure robust data quality, governance, and ethics are embedded into our product development processes.

• 5+ years of product management experience, with at least 3 years focused specifically on data, AI/ML, or platform products.
• Proven track record of managing a portfolio of products and delivering successful outcomes in a fast-paced, tech-driven environment.
• Strong technical acumen and a deep understanding of data science concepts, machine learning model lifecycles, APIs, and data architecture. You should be comfortable discussing these topics in depth with engineers and data scientists.
• Demonstrated experience in the full product development lifecycle, from discovery and validation to launch and go-to-market.
• Excellent analytical and problem-solving skills, with a talent for making data-informed decisions.
• Exceptional communication and interpersonal skills, with the ability to influence and align cross-functional teams and senior leadership.
• Bachelor's degree in Computer Science, Engineering, Business, or a related field.
• Experience working in a B2B SaaS environment is an advantage.
• Proficiency with SQL for data analysis and familiarity with data visualization tools (e.g., Tableau, Looker) is an advantage.

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. At Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Get to Know the Team

The ACE (GrabFood, GrabMart, GrabExpress, OmniCommerce) Analytics team is the analytics and data powerhouse behind Grab's critical business segment. Here, innovation meets action. We're not just a team; we're trailblazers, committed to solving the most pressing challenges for our consumers, driver-partners, and merchant-partners leveraging data. From revolutionizing the consumer order experience to enhancing platform reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

Reporting to the Senior Analytics Manager, you'll collaborate across disciplines (Product, Business, Engineering, Design, and Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will master data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will collaborate with stakeholders to define key product metrics and design experiments including A/B testing that shape the future of our products.
• You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with the engineering teams.
• You will drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

What Essential Skills You Will Need

• At least 4 years in data-related or quantitative fields,
• Fluent in SQL, Python, R, or other scripting/programming languages, and comfortable with very large datasets and complex ETL processes.
• Statistical knowledge is a must. You have hands-on experience in running and analyzing controlled experiments, turning data into actionable insights. You're almost like an A/B Test Sensei!
• Data visualization and storytelling skills. Experience creating dashboards using Tableau or other visualization tools. Knowledge of Azure tool stack (Databricks, PowerBI, Azure Data Explorer)
• Effective communication and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialists.

Life at Grab

We care about your well-being at Grab. Here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance .
• With GrabFlex , create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Overview

Cloud Solution Architect - AI Business Solutions at Microsoft, Kuala Lumpur, Malaysia. The Customer Success Architect (CSA) for AI Business Solutions enables enterprise customers to transform their business through AI-powered solutions. Working within the Customer Success Unit (CSU), the CSA leads technical engagements across AI Workforce and AI Business Process portfolios, designing and implementing secure, scalable, and resilient architectures using Microsoft technologies such as Microsoft 365 Copilot, Copilot Studio, and Power Platform. The CSA guides customers through the Copilot journey from envisioning to deployment and adoption, applying value-based delivery frameworks and Success by Design methodologies. The role combines technical delivery with business strategy, customer advocacy, change management, and ongoing opportunities to drive consumption and growth. This position recognizes technical excellence, innovation, business strategy, and customer obsession.

• Operates with operational excellence and proven practice standards throughout all stages of customer engagements. Collaborates across Microsoft and customer/partner teams to achieve objectives and increase satisfaction. Proactively manages risks, adheres to guidelines, and prioritizes tasks to align with business priorities.
• Delivers solutions in line with company methodologies (e.g., value-based deliverables, advice, training, technical validation), supports organizational adoption, and helps customers deploy for long-term success to increase satisfaction and drive consumption. Guides customers/partners toward well-architected, secure, resilient, AI-enabled, cost- and performance-optimized solutions.
• Identifies new opportunities for consumption and unified expansion at scale based on business value and the Microsoft value proposition. Gathers and maps customer insights to business outcomes and collaborates across the organization to pursue opportunities aligned with the Customer Engagement Model.
• Identifies, escalates, and mitigates blockers to accelerate deployment, value realization, and usage. Applies knowledge to meet architecture and IT requirements and resolve constraints.

• Acts as the voice of the customer/partner, sharing feedback with engineering, product, and internal communities. Develops strategic and actionable insights and influences product roadmaps and prioritization.
• Translates customer problems into industry solutions aligned with Microsoft strategy, explaining ROI and outcomes through proofs of concept, MVPs, or rapid prototypes.
• Helps customers adopt cross-solution area strategies, builds relationships with technical and business decision-makers, and engages with CIO/CISO and other CXO roles when required to address security, compliance, and risk considerations.
• Drives a positive customer experience, defines success criteria, anticipates dissatisfaction, and implements strategies to improve value realization and transformation speed.
• Identifies opportunities aligned with revenue goals and supports partners and sales teams with pre-sales and proof of concept activities to clarify opportunities.

• Leverages market insights to drive readiness and upskilling within CSU and across corporate initiatives (security, resilience, AI). Mentors teams and leads readiness activities.
• Identifies gaps in delivery, communicates them to stakeholders, and contributes to improvements in products, IP, technologies, and processes to scale solutions across customers. Contributes to Microsoft's frameworks and methodologies with thought leadership.
• Leads and participates in virtual teams and engagements, sharing strategic and technical input with internal and external audiences, and contributes to IP development and scalable models in AI scenarios.
• Participates in external events to elevate Microsoft brand and share learnings across teams.

• Map customer requirements to offerings to ensure solutions meet expectations and drive success.

• Act as a trusted technical advisor, grow technical skills aligned with cloud strategy, and help customers make informed business decisions.

• M365 Administration
  • Assigning Copilot licenses
  • Configuring SharePoint Advanced Management
  • Managing Microsoft Graph connectors
  • Ensuring data readiness for semantic search
• M365 Copilot and Copilot Studio
  • No-code agent creation using natural language
  • Connecting to SharePoint, Outlook, and Teams
  • Power Platform integration
  • REST API and custom connectors
  • Event-driven workflows
  • Data engineering and MLOps
  • Responsible AI practices
  • Conversational UX design
  • Prompt engineering (for advanced scenarios)
• Security & Compliance
  • Implementing Microsoft Purview for data governance
  • Managing sensitivity labels and access controls
  • Oversharing prevention and audit logging

• Understand Microsoft strategy, consumption, and support and connect them to customer outcomes, using data to identify opportunities and demonstrate success.
• Identify business needs and determine solutions, including software development, process improvement, organizational change, or policy development.
• Develop positive working relationships with supervisors, staff, managers, customers, and vendors, demonstrating empathy and respect.
• Interact confidently with senior leaders to present and defend concerns, handling difficult questions while maintaining professionalism.

Required/minimum qualifications: Bachelor’s Degree in Computer Science, IT, Engineering, Business, Liberal Arts, or related field AND 4+ years of experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, architecture, or related fields. OR equivalent experience.

• Additional or preferred qualifications: 8+ years in cloud/infrastructure tech, IT consulting/support, or related, or Master’s Degree with 6+ years experience; 4+ years in a customer-facing role; 4+ years on technical projects.
• Technical Certification in Cloud (Azure, AI, Power Platform, M365, security).

Microsoft is an equal opportunity employer. If you need assistance due to a disability during the application process, read more about requesting accommodations.

Overview

Design and implement core AI-driven backend services with a focus on integrating Generative AI capabilities, Retrieval-Augmented Generation (RAG) frameworks, and intelligent agents to enable reasoning and automation.

• Design graph-enhanced RAG techniques to improve contextual linking and retrieval accuracy.
• Develop AI agents capable of orchestrating tasks and enabling autonomous workflows.
• Build ingestion pipelines for both structured and unstructured data.
• Optimize information retrieval systems for speed, scalability, and relevance.

• Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Familiar with LangChain or similar AI orchestration frameworks.
• Experience in GenAI, RAG, graph databases (e.g., Neo4j), and agent-based systems.
• Understanding of NLP pipelines, vector search, and system optimization techniques.

• Master’s degree or above in Computer Science, Artificial Intelligence, or a related field.
• 4+ years of hands-on experience in AI/ML development.
• Production-level experience in deploying AI systems is a strong plus.
• Strong algorithm design and experimental validation skills.

• Open-source contributions or AI research background.
• Familiarity with ethical AI and responsible AI development practices.

• Associate

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Overview

Senior Consultant - TCMG at HTC Global Services

• Python Programming – for AI/ML model development and data processing.


• Real-Time Task Scheduling & Monitoring – for AGV job assignment and fleet coordination.


• Work Order (WO) Optimization – for intelligent routing and task prioritization.


• Predictive Maintenance Modeling – using historical data and sensor logs.


• Issue Tracking Algorithms – for anomaly detection and resolution.


• Log Analysis & Feature Extraction – for training models and system diagnostics.


• TensorFlow / PyTorch – for deep learning applications.


• Scikit-learn / XGBoost – for classical ML approaches.


• Time Series Forecasting – for maintenance and usage prediction.


• Data Pipeline Tools (e.g., Airflow, Kafka) – for scalable data ingestion and processing.


• Experience with AGV or MES systems – for domain-specific insights.

• Associate

• Contract

• Information Technology

• IT Services and IT Consulting

Quantuma Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Develop and deploy ML/AI solutions that improve conversion rates, reduce manual effort, and enhance decision-making across K3's brands and divisions.

• Build, validate, and deploy models (classification, forecasting, NLP)
• Create document intelligence solutions for tax claims and M&A data rooms
• Develop early-warning models for restructuring case outcomes
• Communicate insights and limitations to non-technical stakeholders
• 3-5 years applying ML in production environments
• Strong Python, scikit-learn, PyTorch/TensorFlow skills
• Experience with unstructured data (documents, text)
• MLOps practices and model monitoring
• Ability to translate technical concepts to business stakeholders
• You will be a Malay National

• Deployed models with proven ROI and business impact
• ML solutions increase KBS lead-to-mandate conversion by 5-10%
• Document intelligence reducing R&D evidence prep time by 30%

RM 170,000 - 229,000 per year + competitive benefits package

Kuala Lumpur, Malaysia (Hybrid working model)

• Mid-Senior level

• Full-time

• Engineering and Information Technology

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EY Data And Analytics, is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. You will shape, change, and deliver a data management roadmap to improve and enhance the value and re-usability of data, through modern and evolving data management practices and frameworks.

As our Solutions Architect you'll play a key role in driving solution architecture design, evaluation and selection, buy vs. build decisions, and early-phase project estimates which contribute to the business case. You will partner with key roles (eg. project managers, business analysts, etc) to create solutions that are aligned to architecture standards and principles, leverage common solutions and services, and meet the financial targets (costs and benefits).

Your key responsibilities

• Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
• Experience in requirements gathering and documentation
• Strong ability to effectively engage and collaborate with a range of stakeholders
• Demonstrated experience leading teams

Skills and attributes for success

• Strong teaming and communications
• Strong drive to excel professionally, and to guide and motivate others
• Strong analytical and problem-solving skills
• Dedicated, resourceful and able to work under pressure

To qualify for the role, you must have

• Demonstrated experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies. Strong knowledge of data architecture patterns e.g. Kappa, Lambda architectures, etc.
• Product knowledge across different data products such as Databricks, Snowflake, Talend, Denodo, Immuta
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, dimensional data modelling and a variety of data models including data vault

Ideally, you’ll also have

• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you’re ready to take on a wide range of responsibilities, and are committed to seeking out new ways to make a difference, this role is for you.

What we offer

EY offers a competitive remuneration package commensurate with your work experience,where you’ll be rewarded for your individual and team performance. We are committed tobeingan inclusive employer and are happy to consider flexible working arrangements(FWA), where this may be needed, guided by our FWA Policy. Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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Other locations: Primary Location Only

Requisition ID:

EY AI & Data, is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. You will shape, change, and deliver a data management roadmap to improve and enhance the value and re-usability of data, through modern and evolving data management practices and frameworks.

As our Data Architect you'll play a key role in driving solution architecture design, evaluation and selection, buy vs. build decisions, and early-phase project estimates which contribute to the business case. You will partner with key roles (eg. project managers, business analysts, etc) to create solutions that are aligned to architecture standards and principles, leverage common solutions and services, and meet the financial targets (costs and benefits).

Your key responsibilities

• Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
• Experience in requirements gathering and documentation
• Strong ability to effectively engage and collaborate with a range of stakeholders
• Demonstrated experience leading teams

Skills and attributes for success

• Strong teaming and communications
• Strong drive to excel professionally, and to guide and motivate others
• Strong analytical and problem-solving skills
• Dedicated, resourceful and able to work under pressure

To qualify for the role, you must have

• Demonstrated experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies. Strong knowledge of data architecture patterns e.g. Kappa, Lambda architectures, etc.
• Product knowledge across different data products such as Databricks, Snowflake, Talend, Denodo, Immuta
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, dimensional data modelling and a variety of data models including data vault

Ideally, you’ll also have

• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you’re ready to take on a wide range of responsibilities, and are committed to seeking out new ways to make a difference, this role is for you.

What we offer

EY offers a competitive remuneration package commensurate with your work experience,where you’ll be rewarded for your individual and team performance. We are committed tobeingan inclusive employer and are happy to consider flexible working arrangements(FWA), where this may be needed, guided by our FWA Policy. Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

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