Senior AI Engineer

Sky-Tag Robotics Sdn Bhd; Simpang Empat; On-site; MYR 180,000 - 280,000; Full time

Job summary

Sky-Tag Robotics Sdn Bhd in Simpang Empat, Malaysia, is seeking a Senior AI Engineer to design, develop, and deploy AI models for automated manufacturing and robotics solutions. This on-site role collaborates with cross-functional engineering teams to enhance performance and reliability.

You will research advanced ML/DL techniques, implement robust software components, and mentor junior engineers while helping document and improve AI-driven automation processes.

Qualifications

• Strong foundation in computer science and software development.
• Experience with pattern recognition and neural networks.
• Experience with NLP in automation/robotics contexts.
• Proficiency in ML frameworks (TensorFlow, PyTorch) and Python/C++.
• Experience deploying AI in industrial settings.

Responsibilities

• Design, develop, and deploy AI models for automated manufacturing machinery and robotics solutions.
• Research and implement advanced machine learning and deep learning techniques.
• Build robust software components and integrate AI systems with automation platforms.
• Mentor junior engineers and contribute to technical documentation.

Skills

Computer Science fundamentals

Data structures

Algorithms

Production-grade coding

Pattern recognition

Neural networks

NLP

Python

C++

Embedded systems

Control systems

Industrial robotics

Education

Bachelor's or Master's in CS/EE/Robotics

Tools

TensorFlow

PyTorch

scikit-learn

Python

C++

Job description

Company Description Sky-Tag Robotics Sdn Bhd specializes in high-end automated manufacturing machinery, delivering precision, quality service, cost-effectiveness, and timely project completion. Since 2005, the company has partnered with multinational organizations to engineer advanced infrastructure and market-leading automation solutions. Sky-Tag Robotics is globally recognized for its strong quality control and reliability in manufacturing automation. As a multi-platform automation solutions provider, the company adheres to strict industry standards and production specifications. Its solutions support a range of industries, including Automotive, General Manufacturing, Glove, Medical, and Semiconductor.

Role Description This is a full-time, on-site Senior AI Engineer role based in Simpang Empat. The Senior AI Engineer will design, develop, and deploy AI models and algorithms to enhance automated manufacturing machinery and robotics solutions. Responsibilities include researching and implementing advanced machine learning and deep learning techniques, building robust software components, and integrating AI systems with existing automation platforms. The role involves collaborating with cross-functional engineering teams to define requirements, optimize system performance, and ensure compliance with industry standards. The Senior AI Engineer will also mentor junior team members, contribute to technical documentation, and support continuous improvement initiatives for AI-driven automation.

Qualifications

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and production-grade coding practices.
• Expertise in Pattern Recognition and Neural Networks for building and optimizing machine learning and deep learning models.
• Experience with Natural Language Processing (NLP) and related AI techniques where applicable to automation and robotics solutions.
• Proficiency in common AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python or C++.
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field; advanced degrees are an advantage.
• Experience deploying AI systems in real-world industrial or automation environments, preferably in automotive, medical, or semiconductor sectors.
• Strong problem-solving skills, ability to work collaboratively on-site in multidisciplinary teams, and clear technical communication abilities.
• Familiarity with embedded systems, control systems, or industrial robotics, and an understanding of safety and quality standards in manufacturing.