1,298 AI Engineer jobs in Malaysia

Responsibilities

• Collaborate with product owners and domain experts to understand business requirements and tailor AI solutions accordingly.
• Work closely with Data Scientists/Cloud Platform teams to deploy models seamlessly into production environments.
• Optimize AI systems and models to ensure high levels of accuracy and reliability.
• Engineer system prompts and integrate API calls to generative AI services (Azure OpenAI, AWS Bedrock) to deliver sophisticated AI-driven solutions.
• Design and develop advanced GenAI models and algorithms to solve complex business problems within the financial sector.
• Train, fine-tune, and validate AI models to ensure high levels of accuracy and reliability.
• Optimize machine learning models and ensure they integrate effectively with existing systems.
• Develop end-to-end GenAI project lifecycle, including data preprocessing, model training, deployment, and continuous improvement.
• Perform hyperparameter tuning, algorithm selection, and feature engineering to optimize model performance. Troubleshoot and resolve issues related to AI models and implementations.
• Ensure compliance with financial services industry (FSI) standards, ethical AI practices, and implement AI governance and AI security safeguards.
• Create and maintain documentation for AI models and their applications.
• Research and stay up-to-date on the latest advancements in AI technologies and methodologies.

• Minimum Bachelor's degree in AI, Data Science, Computer Science, or a related field.
• Minimum of 2-3 years of hands-on experience in AI and machine learning development.
• Strong proficiency in programming languages like Python and experience with AI frameworks.
• In-depth understanding of AI models, machine learning, natural language processing (NLP), deep learning architectures, and statistical models.
• Solid knowledge of cloud platforms (AWS, Azure) and experience deploying AI models in production environments.
• Experience in architecting and implementing large-scale AI solutions aligned with business goals.
• Expertise in data preprocessing, feature engineering, model training, and hyperparameter tuning.
• Experience in training, testing, and prompt engineering technique.
• Experience with containerization and orchestration technologies such as Docker or Kubernetes, particularly for AI model deployment.
• Hands-on experience with cloud-based studio tools like Azure Machine Learning, Azure AI Studio, AWS SageMaker.
• Strong problem-solving skills, with a focus on optimizing AI model performance and scalability.

• A background of working with development and DevOps/DevSecOps best practices.
• Work iteratively in a team (Agile ways of working) with continuous collaboration.
• Self-motivated and strong communication.
• Ability to lead and influence team members.
• Problem management and analytical thinking.

Overview

As part of an emerging AI company with a bold vision to develop intelligent solutions that drive innovation, automation, and efficiency across industries, you will have the opportunity to shape the future of AI by working on cutting-edge projects on a national level and experimenting with the latest technologies. Join us as we build a team of forward-thinkers to push the boundaries of AI and create meaningful impact, developing scalable AI solutions that solve real-world challenges in research, engineering, or strategy.

We are focused on helping AI contribute to meaningful progress in Malaysia.

• Design, develop, and deploy advanced AI solutions and machine learning models to improve personalization, content recommendation, and user experience.
• Lead the design and implementation of AI systems and solutions from the ground up.
• Drive innovation by researching, proposing, and developing new AI-driven features and technologies.
• Implement cutting-edge natural language processing (NLP) algorithms for interactive learning tools, chatbots, and intelligent tutoring systems.
• Collaborate with cross-functional teams including product, design, and engineering to integrate AI features into the platform effectively.
• Analyse and process large, complex datasets to extract meaningful insights and develop predictive models that enhance learner engagement and performance.
• Optimize AI models for scalability, performance, robustness, and security.
• Continuously explore and apply the latest AI trends to keep the company at the forefront of the edtech industry.
• Troubleshoot, maintain, and improve existing AI solutions while ensuring high availability and reliability.
• Document development processes, algorithms, and model performance for knowledge sharing and scalability.
• Perform related tasks as assigned to ensure smooth operations.

• Minimum Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• At least 3 years of proven experience as an AI Engineer, Machine Learning Engineer, or in a senior software engineering role with strong AI focus.
• Proven track record in building AI solutions and software systems from scratch.
• Strong software engineering background, including experience with software development best practices, system design, and architecture.
• Proficiency in programming languages such as Python, Java, or C++.
• Deep experience with AI frameworks and libraries such as TensorFlow, PyTorch, and Keras
• In-depth knowledge of machine learning algorithms, neural networks, and deep learning techniques.
• Experience with deploying AI solutions using cloud platforms (AWS, Google Cloud, Azure).
• Strong analytical thinking, problem-solving skills, and attention to detail.
• Excellent communication, self-driven, and teamwork abilities.
• Experience building recommendation systems, personalization algorithms, and scalable AI solutions.
• Familiarity with reinforcement learning and computer vision is an added advantage.
• Experience with API development and microservices architecture.

• Comprehensive medical benefits for you and your family.
• Group insurance and term life coverage for security and peace of mind.
• Meal credits to keep you energized throughout the day.
• In-house futsal court, badminton court, and a gym for post-work workouts.
• Various events and gatherings to unwind and connect with the team.
• Support for achieving a healthy work-life balance.

• Associate

• Contract

• Information Technology

• Information Technology & Services; Technology, Information and Internet

Overview

The company

AEG Power Solutions is a worldwide leader in power supply and power conversion technologies for industrial and renewables applications. We design and provide our solutions to blue chip customers on large projects for power generation, infrastructures, nuclear, renewable energy and oil & gas processes. Our 700 employees operate in 14 countries with a strong European and Asian footprint.

Our company is considering fantastic opportunities to grow both organically and through acquisitions in our traditional sectors but also in adjacent technologies. We are specifically targeting the energy storage and green hydrogen applications with our truly unique capabilities.

The position

In this role, you will play a key part in shaping and deploying intelligent solutions that optimize our energy management systems, streamline commercial processes, and contribute to our long-term AI strategy. If you are passionate about cutting-edge technologies, thrive in collaborative environments, and want to make a tangible impact on the future of sustainable power solutions, this could be your opportunity.

• Develop, train, and deploy AI models to optimize our energy management systems.
• Collaborate with R&D, Software, and Data teams to design innovative solutions.
• Build and maintain robust, scalable MLOps pipelines.
• Develop and automate our CPQ (Configure, Price, Quote) tools, technical documentation, and service offers to streamline and accelerate commercial processes.
• Contribute to AI research, technology scouting, and AEG Power Solutions’ AI strategy.

• Engineering degree (or equivalent) in AI, Data Science, or Computer Science.
• Proficiency with leading AI frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience in Python development and deploying models into production environments.
• Strong collaboration skills, a passion for innovation, and a drive to tackle technical challenges.

A career in AEG Power Solutions is not just a job. We are a technology-driven organization that offers great opportunity to develop and make a positive impact on the world. Discover more here:

• Mid-Senior level

• Full-time

• Information Technology

• Electric Power Transmission, Control, and Distribution and Appliances, Electrical, and Electronics Manufacturing

Referrals increase your chances of interviewing at AEG Power Solutions by 2x

Get notified about new Artificial Intelligence Engineer jobs in Federal Territory of Kuala Lumpur, Malaysia .

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Objectives of this role
• Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
• Understand company and client challenges and how integrating AI capabilities can help lead to solutions
• Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards

Responsibilities:
• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
• Collaborate across teams to align AI initiatives with organizational goals, integrate AI into broader system architectures, and ensure the smooth integration and functionality of ML models within our infrastructure
• Keep abreast of the latest developments in AI, machine learning and suggest improvements to existing systems and workflows to maintain our competitive edge.
• Continuously evaluate and iterate on machine learning models to enhance performance based on metrics and feedback from operational teams.
• Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
• Experience with ML, deep learning, TensorFlow, Python, NLP
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
• Experience with cloudenvironments

1. Develop, maintain, and optimize AI applications using LLMs and RAG technologies.
2. Design and implement user interfaces with Streamlit to provide seamless and intuitive user experiences.
3. Build and integrate RESTful APIs for robust and scalable application interactions.
4. Experience in using Swagger with RESTful APIs interface.
5. Experience in SQL databases usage and maintenance.
6. Use Docker to containerize applications for consistency across development, testing, and production environments.
7. Collaborate with the software design team to implement and adhere to software design and testing workflows.
8. Utilize Git for version control and collaborative development.
9. Troubleshoot and resolve technical issues in a timely manner.

Qualifications and Skills:

1. Bachelor’s degree or equivalent in Computer Science, Data Science, or a related field.

Working Location : Nusa Bestari, Skudai Johor

What We Offer

Compensation & Benefits

• 13-Month Salary + Performance-Based Project Bonus
• Travel/Accommodation/Working Allowance (if required)
• EPF Contribution + SOCSO
• Accident Insurance Coverage
• Generous Annual Leave
• Medical & Hospitalization Leave
• Maternity, Paternity, and Compassionate Leave
• Electronic Accessories Claims (reimbursement for work-related tech purchases)

Work Environment & Culture

• Open, Friendly, and Supportive Environment
• Say "NO" for Office Politics or Gossip
• Dynamic, Innovative, and Agile Team
• Fully Stocked Pantry with unlimited coffee, snacks, and beverages.
• Regular Team-Building Activities and Company Events to foster collaboration and camaraderie.

Key Responsibilities

• Develop software and system applications using software engineering and AI technologies
• Developing ML algorithms to analyze huge volumes of data to make predictions and object detection.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning/deep learning processes.
• Keeping abreast of developments in machine learning.
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Qualifications

• Develop software and system applications using software engineering and AI technologies
• Developing ML algorithms to analyze huge volumes of data to make predictions and object detection.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning/deep learning processes.
• Keeping abreast of developments in machine learning.
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Location: Nilai, Negeri Sembilan (Onsite)

There are days where you required to travel to Putrajaya, upon request.

Responsibilities:

• Design, develop, and deploy AI/ML models into production environments.
• Collaborate with Data Scientists to operationalize models and optimize performance.
• Implement MLOps pipelines for model training, monitoring, and deployment.
• Integrate AI solutions into enterprise systems, products, or services.
• Conduct model evaluation, retraining, and continuous improvement.
• Explore and apply the latest in Generative AI, NLP, LLMs, and computer vision.
• Work with cloud environments (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Requirements:

• Bachelor's/Master's in Computer Science, AI, Data Engineering, or related field.
• 5–8 years' experience in AI/ML engineering.
• Proficiency in Python, SQL, and deep learning frameworks (TensorFlow, PyTorch).
• Experience with cloud AI platforms (AWS Sagemaker, GCP Vertex AI, Azure ML).
• Hands-on with MLOps tools (MLflow, Airflow, Kubeflow, Docker/K8s).
• Strong background in API development and system integration.
• Knowledge of LLMs, NLP, computer vision is an advantage.

Soft Skills

• Strong problem-solving and critical thinking.
• Ability to communicate with technical and business stakeholders.
• Self-driven, collaborative, and adaptable

Job Types: Full-time, Contract

Contract length: 12 months

Pay: Up to RM12,000.00 per month

Benefits:

• Dental insurance
• Health insurance
• Maternity leave
• Opportunities for promotion
• Parental leave
• Professional development
• Vision insurance

Ability to commute/relocate:

• Nilai: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelor's (Required)

Work Location: In person

AI Engineer (Automation) at a AI and Data Consultancy

Salary: RM3500 - RM4000

Position: Graduate / Junior / Intern AI Engineer (Automation)

Role Overview

As an AI Engineer, you'll be the architect behind smart, scalable systems. From intelligent Large Language Model (LLM) powered chatbots to end-to-end business automation, your solutions will transform how we and our clients work. You'll blend technical skill with problem-solving creativity to design and build AI-driven automation workflows across various platforms.

Responsibilities

• AI-Powered Automation Development: Build and deploy AI agents, intelligent chatbots, and automation workflows for various use cases using LLMs (e.g., Sales, Recruitment, Claims).

• Platform Integration & Scripting: Utilize tools such as
  n8n, JavaScript, Python, Google APIs,
  and
  automation platforms
  (e.g., Make, Zapier) to connect systems and automate processes.

• Process Design & Optimization: Analyze and map manual or repetitive processes to identify AI automation opportunities.

• Client & Internal Projects: Develop and deliver automation solutions across both internal operations and client-facing environments in the IT services and retail space.

• Exploration & R&D: Contribute to innovation through independent research, prototyping, and implementation of emerging automation and AI frameworks such as
  Langchain
  and
  CrewAI
  .

• Collaboration & Communication: Work within project teams or independently, gathering requirements and communicating solutions effectively to technical and non-technical stakeholders.

Qualifications

• Bachelor's Degree / Post Graduate Diploma / Professional Degree in a related field (e.g., Data Science, Computer Science, Information Systems).

• Have foundational knowledge or work experience in Generative AI (LLMs), ML or Deep learning model development & production inference pipelines.

• Have foundational knowledge in Neural Linguistic Programming (NLP), Computer Vision, Predictive, Clustering & other advanced analytics

• Proficient in scripting and programming languages (e.g., JavaScript, Python), automation platforms (n8n, Make, Zapier), and AI tools/frameworks (e.g., Langchain and CrewAI).

• Familiar with APIs and integrations (e.g., Google Cloud API, Slack API, etc.).

• Strong problem-solving skills and a creative mindset are essential.

• Excellent communication and requirements-gathering skills.

• (Bonus) Experience in Reinforcement Learning, model tuning & optimisation

• (Bonus) Familiar with data mining, storage & retrieval strategies (e.g Automated large scale web scraping, vector embedding & RAG systems)

• (Bonus) Familiarity with both structured & unstructured big data (e.g. NoSQL, SQL, Apache Spark)

Why Join Avinity Analytics?

Join Avinity Analytics where we focus on providing you with the best training and education in AI Engineering and Automation, as well as relevant AI projects that will help you gain the necessary experience to advance your career.

You will be developing essential AI engineering know-how in our 3 year Data Development Program, whilst executing AI and Automation solutions for mid-size to enterprise clients.

Working at a AI and data consultancy with a flexible working environment and a continuous learning culture, you will gain significant improvements in your AI engineering skillsets. Through solving real business challenges with AI and data, you will be implementing the latest AI software and technologies to drive data adoption and innovation.

If you have a great interest to be involved in a variety of data projects and would like to take your data skills to the next level, you are encouraged to apply.

Job Summary:

We are seeking a passionate and highly skilled AI Engineer / Specialist to join our growing digital transformation team. This role focuses on developing, deploying, and scaling cutting-edge AI solutions — especially in the areas of Generative AI, Natural Language Processing (NLP), Computer Vision (CV), and Large Language Models (LLMs).

The ideal candidate is a creative problem-solver who can work cross-functionally with researchers, software engineers, and stakeholders to bring AI ideas to life through real-world applications.

Key Responsibilities:

AI Development & Deployment

• Design, build, and optimize state-of-the-art AI/ML models for real-world use cases (e.g., NLP, CV, ASR, predictive modeling).

• Implement and fine-tune generative AI models (e.g., GANs, VAEs, Diffusion Models, LLMs) for creative applications such as text generation, image synthesis, and knowledge summarization.

• Translate academic AI/ML research into production-ready, scalable code.

Technical Implementation

• Deploy AI models into production environments using cloud and on-premise infrastructure.

• Collaborate on system architecture to ensure seamless integration of AI capabilities into platforms and applications.

• Utilize MLOps tools and best practices to automate and monitor model lifecycle (training, inference, retraining).

Collaboration & Solutioning

• Participate in solutioning sessions with stakeholders, project teams, and customers to propose AI-driven enhancements.

• Work closely with front-end/back-end developers, data engineers, and DevOps for full-stack implementation.

• Provide mentorship to junior engineers and contribute to technical knowledge sharing.

Technical Skills & Requirements:

Core Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields.

• 4–6+ years of experience in developing and deploying AI/ML solutions.

• Proficient in Python, and hands-on with TensorFlow, PyTorch, or similar frameworks.

• Solid knowledge in machine learning, deep learning, and generative models (e.g., GPT, BERT, DALL·E, Stable Diffusion).

• Experience with REST APIs, JSON/XML, and integrating models into web-based systems.

Preferred Skills:

• Familiar with OCR, speech recognition, image recognition, knowledge extraction, and transformer-based models.

• Experience with LLM prompting, embedding, retrieval-augmented generation (RAG), or fine-tuning.

• Comfortable with containerization tools such as Docker, Kubernetes, and CI/CD pipelines.

• Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Alibaba Cloud.

Interpersonal & Soft Skills:

• Strong communication and teamwork abilities across multi-cultural, cross-functional teams.

• Excellent analytical, debugging, and problem-solving skills.

• Self-motivated with a passion for continuous learning and innovation in AI technologies.

• Able to work independently, and under pressure, while meeting tight deadlines.

• Proactive mindset in exploring and evaluating new AI technologies for business value.

Added Advantages:

• Experience working on Supply Chain, SCM solutions, or enterprise AI applications.

• Familiarity with Agile development practices and DevOps methodologies.

• Exposure to tools like Jira, Confluence, SVN/Git, SonarQube, Jenkins, Eclipse/VSCode.

• Contributions to open-source AI projects or published research papers.