91 AI & Emerging Technologies jobs in Malaysia

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Date: 26 Jul 2025

Service Line / Portfolios: Engineering, AI & Data

Location: Jakarta, ID

Are you ready to unleash your potential?

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve.

We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on societal challenges and creating a better future. We aim to advise clients on purpose-led growth, inclusivity, and sustainability.

We seek talented individuals driven to excel and innovate, working together to achieve shared goals.

We are committed to fostering a respectful and inclusive work culture where diverse perspectives are valued and contributions are recognized.

Join us to unleash your potential and be part of a winning team!

Deloitte’s Financial Services industry group supports clients in addressing industry challenges. Our global network helps refine business models through innovation, improved processes, and technology.

You will collaborate with clients on strategic transformation, from architecture to execution, focusing on AI & Data initiatives for Banking and Insurance sectors across SEA. Typical engagements include:

• Business & Operations transformation driven by AI & Data, such as omni-channel customer experience, analytics-based operating models, and digital platforms.

You will support growth by:

• Understanding client strategies and identifying efficiency opportunities
• Conducting research on market trends, competitors, and customer insights
• Developing proposals, including data analysis, opportunity sizing, and project estimates
• Applying human-centered design and innovative solutions to business needs
• Participating in problem-solving and client workshops
• Creating reports and maintaining quality standards
• Restructuring operating models and business processes for efficiency
• Supporting proposal development and professional growth

We believe in empowering leaders at all levels. Directors are expected to:

• Lead with integrity, inspiring loyalty and high performance
• Cultivate a high-performance culture and drive service excellence
• Anticipate market trends and develop innovative solutions
• Build trust with senior stakeholders through influencing skills
• Set strategic direction and motivate teams
• Develop diverse talent pipelines and manage business value

If you have:

• Bachelor’s or Master’s degree in relevant fields
• At least 15 years of experience in consulting within Financial Services
• Experience in banking or insurance domain, using analytical tools like Machine Learning libraries, LLMs (e.g., OpenAI, Anthropic, Google Bard)
• Hands-on experience developing AI models with ML Workbench (e.g., Pivotal Cloudera, Azure, NVIDIA Omniverse)
• Strong foundation in Data Management and Governance
• Experience in banking analytics (wealth, fraud, operational, HR, transaction banking) and insurance analytics

It’s a plus if you also have:

• Proficiency in programming languages (R, Python, Scala)
• Relevant certifications in Cloud, Machine Learning, or AI
• Regional experience across SEA
• Strong client relationship skills and ability to travel

• Understand client needs within banking
• Lead opportunity management, solution design, budgeting, and account planning
• Manage project delivery, including team leadership and P&L
• Mentor and develop team members
• Provide expertise on industry trends and regulations
• Collaborate with cross-functional teams to deliver solutions
• Stay informed on emerging technologies and market changes

Note: Due to volume of applications, only shortlisted candidates will be notified. Deloitte will never contact you via messaging platforms to offer employment or ask for money or personal information. Please apply through our official website.

Requisition ID: 105710

In Indonesia, services are provided by Imelda & Rekan and related entities, affiliates of Deloitte SEA Ltd, a member of Deloitte Touche Tohmatsu Limited.

As a Product Manager, you are responsible for the vision and roadmap of key product lines at CoinMarketCap. You’re at the intersection of what the user wants and what the business needs, and are responsible for setting the product strategy. From the get-go, you will be working on products that touch the lives of millions of people around the world daily, and must therefore understand and empathize with users to build an engaging experience. You’ll need to make data-driven decisions and conduct analyses to inform priorities across your products. Additionally, as a Product Manager, you will need to communicate effectively with various groups within the organization, including CoinMarketCap’s leadership team. You should possess excellent teamwork, collaboration skills, and thought leadership.

This role involves working specifically on AI-related products at CMC, such as building on top of LLMs, developing automated workflows for AI-generated content, and integrating AI-powered services and APIs into existing products. You must stay updated with the latest AI tools and trends to ensure our products leverage cutting-edge technology. The ideal candidate is both creative and technical, with strong business acumen.

Qualifications:

• Extensive experience in building and launching AI-related products like AI models, chatbots, recommendation systems, or generative AI tools
• Bachelor’s degree in a technical field (e.g., Computer Science, Statistics, Engineering, Mathematics); an MBA or Master’s in a technical field is a plus
• Knowledge of financial markets, cryptocurrencies, and blockchain technology
• Fluency in English

• Vision: Ability to build conviction, understand users, and develop a clear product vision and roadmap aligned with stakeholders
• Data proficiency: Skilled in leveraging data and analytics to inform decisions and prioritize effectively
• Excellent communication skills: Capable of conveying complex messages clearly and persuasively
• Bias for action: Results-oriented, hands-on, with a proven track record of launching successful products
• Entrepreneurial mindset: Self-starter and problem-solver in a fast-paced environment
• Independence: Self-disciplined, motivated, and effective working both independently and within a team

• Define the vision and roadmap for AI products at CMC
• Write clear user stories and product requirement documents
• Collaborate with business and IT stakeholders
• Gather qualitative and quantitative data to guide product development
• Evaluate launched products and features critically
• Understand the competitive and partner landscape
• Challenge assumptions and innovate to improve products
• Work closely with UX/UI designers to ensure a strong user experience

With a global team of 6000+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions . We work beyond global borders and push boundaries across all dimensions of logistics . You can leave your mark shaping the technology backbone of the biggest logistics company of the world. Our offices in Cyberjaya, Prague, and Chennai have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

Digitalization. Simply delivered.

At IT Services, we are passionate about technology. Our team is continuously expanding. No matter your level of proficiency, you can always grow within our diverse environment.

#DHL #DHLITServices #GreatPlace

Grow together

We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will collaborate with cross-functional teams to integrate machine learning solutions into our logistics and supply chain processes.

Key Responsibilities:

• Design and implement machine learning models and algorithms for various applications, including predictive analytics, optimization, and automation.
• Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver actionable insights.
• Preprocess and analyze large datasets to identify trends, patterns, and anomalies.
• Optimize machine learning models for performance and scalability.
• Conduct experiments and A/B testing to evaluate model effectiveness and iterate on solutions.
• Stay updated with the latest advancements in machine learning and artificial intelligence technologies.
• Document processes, methodologies, and results to ensure knowledge transfer and reproducibility.
• Contribute to the development of best practices for machine learning and data handling within the organization.

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

As a DevOps Engineer , having proven experience as a Machine Learning Engineer or similar role is a huge plus. Very good knowledge of strong programming skills in Python, R, or Java, and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) will also be an integral part of this role.

You are a technology aficionado, therefore you have a good understanding of experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy) , knowledge of algorithms, data structures, and software engineering principles and Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

You are able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful.

An array of benefits for you:

• Hybrid work arrangements to balance in-office collaboration and home flexibility.
• Outpatient (unlimited) and inpatient medical coverage for employees.
• Personalized flexi benefit plan for you and your family.
• Choose any day off from earned public holidays, including Saturdays and ad-hoc holidays to spend with your loved ones.
• Modern offices with free parking space.

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

Aonic is an end-to-end drone solutions company. We began by providing drone services and has since evolved into a comprehensive solutions provider - creating our own drones, supplying major brands like DJI, and now expanding into distributing smart home products.

With expertise across B2B and B2C segments, we deliver end-to-end solutions through six integrated verticals: agriculture, industrial, services, retail, academy and lifestyle.

At Aonic, our mission is to empower businesses and end users with innovative ecosystems that drive efficient living through smart technology .

We’re on the lookout for an AI/ML Engineer who can bring together the power of computer vision, drone imagery, and geospatial intelligence to develop a cutting-edge system for automated tree detection and counting .

• Develop & Train Models – Design, train, and fine-tune deep learning models (e.g., YOLO) to detect and count trees from aerial images.
  
• Build ML Pipelines – Create robust end-to-end pipelines for image preprocessing, data augmentation, training, validation, and evaluation.
  
• Photogrammetry Integration – Stitch raw drone imagery into high-resolution orthomosaics using Agisoft Metashape or similar tools.
• Deploy Seamlessly – Convert and optimize models into ONNX format for smooth integration into our mapping platform, enabling dynamic updates.
  
• Collaborate Across Teams – Work closely with our GIS specialists and software engineers to ensure successful deployment and scalability.
• Innovate for Impact – Contribute to the future of AI-driven forestry, agriculture, and land management through real-time geospatial intelligence.

• Degree in Computer Science, Artificial Intelligence, Geospatial Science, or a related field.
• Minimum2 years of hands-on experience in building AI/ML solutions for computer vision tasks.
  
• Strong coding skills in Python, with solid grasp of TensorFlow, PyTorch, and OpenCV.
• Practical experience in object detection, segmentation, and working with geospatial data.
  

Averis Federal Territory of Kuala Lumpur, Malaysia

Averis Federal Territory of Kuala Lumpur, Malaysia

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Key Responsibilities:

• Lead the design, development, and deployment of robust and scalable machine learning models in production environments.
• Collaborate closely with data scientists, engineers, and business stakeholders to identify, define, and prioritize machine learning use cases that drive business impact.
• Manage the end-to-end machine learning lifecycle , including data acquisition, preprocessing, model training, evaluation, deployment, and monitoring.
• Drive model optimization, hyperparameter tuning , and A/B testing to continuously improve model performance and reliability.
• Provide technical leadership and mentorship , establishing best practices in machine learning engineering, MLOps, and software development standards.
• Stay abreast of emerging ML/AI trends and technologies , evaluating their potential application to business challenges.
• Communicate strategic, data-driven insights and influence technical and business decision-making at leadership levels.

Skills & Qualifications:

• 12+ years of experience in machine learning or data science roles, including 3+ years in a senior or lead capacity .
• Expert-level proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn .
• Proven track record of deploying and maintaining production-grade machine learning models .
• Strong foundation in supervised, unsupervised, and deep learning algorithms and techniques .
• Hands-on experience with data pipelines, MLOps practices, and cloud platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML).
• Solid understanding of data engineering principles, version control systems, and CI/CD pipelines for ML workflows .
• Familiarity with SQL and NoSQL databases and large-scale data management.
• Excellent communication and presentation skills, capable of conveying complex technical concepts to technical and non-technical audiences .
• Bonus: Prior experience or exposure to process manufacturing industries , such as Pulp and Paper Manufacturing, Palm Oil Refining, or Viscose Fibre Manufacturing , is highly desirable.

Education:

Bachelor’s or Master’s Degree in Computer Science , Machine Learning , Artificial Intelligence , Engineering , or a related field.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT System Custom Software Development and Software Development

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Other locations: Primary Location Only

Date: 31 May 2025

Requisition ID: 1525226

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.We implement information-driven strategies and systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a dedicated Project Manager with expertise in data analytics to join our team. As a Project Manager in this role, you will lead and oversee data analytics projects from inception to completion. You will collaborate closely with data analysts, scientists, engineers, and stakeholders to ensure successful project delivery that meets business objectives and enhances decision-making capabilities through data insights.

Responsibilities

Project Planning and Execution:

• Develop comprehensive project plans defining project scope, goals, deliverables, and timelines.
• Coordinate resources and tasks effectively to ensure projects are delivered on time and within budget.
• Manage project dependencies, risks, and issues; develop mitigation strategies as needed.

Stakeholder Management:

• Serve as the primary point of contact for stakeholders regarding project status, issues, and requirements.
• Communicate effectively with stakeholders to manage expectations and ensure alignment with project goals.
• Facilitate regular meetings and status updates to keep stakeholders informed and engaged throughout the project lifecycle.

Team Leadership and Collaboration:

• Lead and motivate cross-functional teams including data analysts, scientists, and IT professionals.
• Foster a collaborative team environment, encouraging creativity, innovation, and problem-solving.
• Provide guidance and support to team members, ensuring clarity on roles, responsibilities, and project objectives.

Data Analysis and Insights:

• Oversee the execution of data analytics activities, ensuring accuracy, relevance, and actionable insights.
• Collaborate with data analysts and scientists to interpret data, identify trends, and provide strategic recommendations.
• Ensure adherence to data quality standards and best practices throughout the project lifecycle.

Project Monitoring and Reporting:

• Monitor project progress, track milestones, and report on key metrics and KPIs.
• Identify deviations from plan and implement corrective actions as necessary.
• Prepare and present regular project status reports to management and stakeholders.

Skills and attributes for success

• Bachelor’s degree in Data Science, Computer Science, Business Analytics, or a related field. Master’s degree preferred.
• Proven experience as a Project Manager in data analytics, business intelligence, or related fields.
• Strong understanding of data analytics methodologies, tools, and techniques.
• Proficiency in data visualization and reporting tools (e.g., Tableau, Power BI).
• Excellent organizational and time management skills; ability to prioritize tasks effectively.
• Outstanding communication and interpersonal skills; ability to interact effectively with stakeholders at all levels.
• PMP, PRINCE2, or equivalent certification is a plus.

Ideally, you’ll also have

• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects

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 will be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you are 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 working at EY offers

EY offers a competitive remuneration package commensurate with your work experience, where you will be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements (FWA), as 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.

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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.

-Defining and executing ML experiments to test how machine learning can enhance the products user experience.-Analysing and interpreting ML experiment results to determine business impact and user benefits.-Translating complex ML solutions into intuitive, user-friendly features that drive engagement and retention.-Working with UX and marketing teams to communicate ML-driven features effectively to users.-Prioritizing ML product roadmap based on user feedback, business goals, and technical feasibility.-Ensuring compliance and ethical use of user data while maximising personalization and insights.

A successful Data Scientist should have:

• A degree in Data Science, Computer Science, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and tools.
• Ability to evaluate ML models, interpret results, and make data-driven decisions.

• Remote Working
• Competitive salary of MYR 144000-18000 annually.
• Performance-based bonus and additional benefits.
• A collaborative and innovative company culture.
• Access to cutting-edge tools and technologies in the Technology & Telecoms industry.

If you are a motivated Data Scientist looking to make an impact, we encourage you to apply and take the next step in your career!

Get AI-powered advice on this job and more exclusive features.

1. Build and maintain machine learning models to support our products and services
2. Design, build, and maintain software systems that integrate with machine learning models
3. Collaborate with cross-functional teams to identify machine learning opportunities and implement solutions
4. Develop algorithms and implement software to support the development of new machine learning models
5. Analyze and interpret large sets of data to identify trends and patterns
6. Use statistical analysis and machine learning techniques to develop predictive models
7. Optimize and improve existing machine learning algorithms and models
8. Implement data pipelines and ETL processes to support machine learning workflows

1. Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
2. 3+ years of experience in software engineering
3. Proficiency in coding with Python, R, and/or Java
4. Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
5. Familiarity with data analysis and visualization tools such as pandas, matplotlib, or Power BI
6. Knowledge of web development technologies, such as React and Django
7. Experience with cloud platforms, such as AWS or Azure
8. Strong collaboration and communication skills

• Entry level

• Full-time

• IT Services and IT Consulting

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Get notified about new Machine Learning Engineer jobs in Penang, Malaysia .

The section about "Senior Engineer, Software Development Engineering" appears unrelated to the main job description and seems to be an extraneous detail. It can be removed for clarity.

EY’s AI & Data team is growing and seeking exceptional talent at multiple levels – from Senior Associate to Senior Managers – to help shape the future of data science and artificial intelligence in business. As part of our dynamic, multidisciplinary team, you'll be instrumental in designing and implementing AI-driven solutions, including Generative AI (GenAI) , for clients across industries. Whether you are a technical expert or a strategic leader, this role offers the opportunity to drive innovation, create real-world impact, and build the future of intelligent enterprises.

We are seeking individuals who are passionate about solving complex business problems using AI/ML, including GenAI, and who are experienced in leading data science engagements from strategy to implementation. This is a full-time basis role and is based in our Kuala Lumpur, Malaysia office.

1. Lead the delivery of end-to-end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.
2. Collaborate with stakeholders to understand business problems and translate them into analytical solutions.
3. Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.
4. Guide clients in the adoption of AI/ML strategies, including the responsible use of GenAI in business processes.
5. Build and manage reusable ML pipelines and support MLOps practices to operationalize models.
6. Mentor junior data scientists and contribute to capability building within the team.
7. Stay current with developments in AI/ML and GenAI technologies, tools, and best practices.
8. Present findings and insights in a clear, compelling way to business and technical audiences.

1. Strong analytical and problem-solving skills with the ability to think strategically and act tactically.
2. Proficiency in Python or R, with hands-on experience using libraries such as Scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers.
3. Experience building and fine-tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers.
4. Solid understanding of NLP, deep learning, and data modeling techniques.
5. Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).
6. Excellent communication and stakeholder engagement skills.

1. A Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. A PhD is a plus.
2. For Senior Associate: Minimum 2+ years of hands-on experience in data science or AI projects.
3. For Manager to Senior Managers: 6+ years of experience, with a proven track record of project leadership, client engagement, and team management.
4. Demonstrated experience applying both traditional ML and GenAI in real-world business use cases.
5. Experience working with large language models (LLMs) and/or vector databases is a strong advantage.

1. Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty).
2. Experience with responsible AI practices, explainability, and AI ethics.
3. Previous consulting or client-facing experience, ideally in cross-industry engagements.

• Experience in engaging with both technical and non-technical stakeholders.
• Strong consulting experience and background, including engaging directly with clients.
• Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects.

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 to being an inclusive employer and are happy to consider flexible working arrangements, 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.