230 AI Engineering jobs in Malaysia

Job Overview :

As an AI Engineering Specialist , you will play a critical role in developing and integrating advanced AI models into Alphatok's production systems, including our flagship CRM and ERP software. You will work closely with our engineering team, contributing to Alphatok’s vision of providing AI-powered solutions to businesses in diverse sectors. Reporting to the Chief Technology Officer (CTO), this role offers you the chance to develop scalable AI solutions while working in a fast-paced, dynamic startup environment.

Key Responsibilities :

• Write clean, efficient, and maintainable code to develop AI solutions for Alphatok's B2B software products.
• Collaborate with data engineers to ensure robust data pipelines and accurate data integration.
• Implement and optimize AI models in real-time production environments.
• Leverage Retrieval Augmented Generation (RAG) and other advanced AI techniques to improve user interaction and software functionalities.
• Experiment with AI methods such as natural language processing (NLP), knowledge graphs, and neural networks to enhance Alphatok’s software capabilities.
• Work closely with cross-functional teams, including project managers, data scientists, and product developers, to meet client requirements and deliver AI-driven solutions.
• Stay updated on the latest AI and machine learning trends to ensure Alphatok’s products remain industry-leading.
• Participate in the agile software development process, contributing to sprint planning, daily stand-ups, and code reviews.
• Develop and maintain comprehensive documentation for AI models, processes, and methodologies.
• Integrate AI-based automation and intelligent features into Alphatok's CRM and ERP systems to improve user efficiency and client satisfaction.

Required Qualifications :

• Bachelor’s degree in Computer Science, Mathematics, Data Science, or a related field.
• Minimum of 2+ years of experience in AI engineering, with a focus on AI model development and integration.
• Proficient in Python and familiar with AI frameworks like TensorFlow or PyTorch.
• Experience in building scalable AI systems using modern cloud platforms such as AWS, Google Cloud, or Azure.
• Familiar with machine learning concepts, including optimization algorithms, evaluation metrics, and neural networks.
• Knowledge of DevOps and experience with CI/CD pipelines, version control (e.g., Git), and testing methodologies.
• Experience in working with RESTful APIs and data pipeline integration.
• Strong problem-solving skills, with the ability to work independently and adapt quickly to new technologies.

Preferred Qualifications :

• Experience with Retrieval Augmented Generation (RAG) and other prompt engineering techniques.
• Knowledge of multi-user collaborative design systems and AI-driven project management.
• Experience with Docker for building, deploying, and managing containers in production environments.
• Familiarity with frontend and backend development (e.g., Node.js, TypeScript, C#, or Java).
• Experience working with B2B software systems like ERP and CRM in a cloud-based architecture.

We are seeking a passionate and highly skilled Computational Research Scientist specializing in deep learning to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.

• Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.
  

• Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.
  

• Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.
  

• Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.
  

• Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.
  

• Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.
  

• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
  

• Proficiency in programming languages including Python (preferred), R, or MATLAB.
  

• Strong written and verbal communication skills.
  

• Proven ability to work independently and collaboratively in a dynamic research environment.
  

• Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.
  

• Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).
  

• Experience with protein structure prediction and modeling.
  

• Background in industrial biotechnology or experience working in start-up environments.
  

• Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.
  

• Quick learner with a proactive, inquisitive mindset.
  

• Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.
  

• Strong collaborator with excellent interpersonal and communication skills.
  

• Commitment to high standards of scientific integrity and professional ethics.
  

The day-to-day activities (Duties and Responsibilities):

• Grow, mentor and lead the H3’s AI, data science and data engineering team.
• Ensuring that team members are clear about expected standards of performance,motivated and developed to provide effective and efficient services.
• Building on H3’s AI roadmap, lead the development of the H3’s AI and data science vision, strategy and capability plan.
• Continue to develop H3’s AI data microservices and infrastructure, and integrate the latest data models and data pipelines, establishing a model management approach that is best in class for responsible data use.
• Provide expertise in statistics and probability, and the evaluation of data use, algorithm and models for internal development

Work experience/Skills required:

• Possessing a Bachelor’s degree in relevant field; Higher education qualifications in computer vision, machine-learning, statistics and/or technology also preferred –computer science, software engineering etc.
• Significant (5 years +) experience in AI, data science and computer vision.
• Significant experience of recruiting, establishing and managing a data science / AI team
• Significant experience of developing a data strategy and data governance approach
• Significant experience of designing, developing, deploying and managing algorithms, models, and model management approaches.
• Significant experience of delivering machine learning and data analysis projects. Generating data insights
• Industry-specific knowledge; Facilities Management/Built Environment/Civil Engineering is a huge bonus

Join to apply for the Engineering Specialist – AI Trainer role at Invisible Expert Marketplace

Join to apply for the Engineering Specialist – AI Trainer role at Invisible Expert Marketplace

Are you an engineering expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline engineering design and analysis for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for engineering specialists who live and breathe mechanical engineering, civil engineering, electrical engineering, aerospace engineering, chemical engineering, software engineering, industrial engineering, systems engineering, structural engineering, and materials science. You’ll challenge advanced language models on topics like thermodynamics, fluid dynamics, structural integrity, control systems, robotics, circuit design, heat transfer, material properties, process optimization, and engineering simulations—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model on real-world engineering scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A master’s or PhD in engineering or a closely related engineering field is ideal; peer‑reviewed publications, industry experience, or hands-on engineering projects signal fit. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your engineering expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $8-to-$65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: Engineering Science Specialist – AI Trainer

Employment type: Contract

Workplace type: Remote

Seniority level: Mid‑Senior Level

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Consulting, Training, and Information Technology
• Industries Software Development

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