AI Engineer

Nintex; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Nintex in Kuala Lumpur is seeking an AI Engineer to design, develop, and deploy AI solutions that power intelligent automation across business processes. You will work with data scientists and software engineers to build scalable AI systems, evaluate new AI technologies, and maintain data pipelines for training and validation.

A strong background in Python and ML frameworks is required, with experience in NLP or computer vision considered a plus.

Qualifications

• Bachelor’s or Master’s in CS/AI/ML or related field.
• Proven experience deploying AI/ML models in production.
• Strong Python skills; familiar with TF or PyTorch.
• Solid ML knowledge: supervised, unsupervised, RL.
• Experience in NLP or CV is desirable.
• Collaborative cross-functional teamwork and communication.
• Strong analytical and problem-solving abilities.

Responsibilities

• Design, develop, and deploy AI models to enhance Nintex’s workflow automation platform.
• Collaborate with data scientists and engineers to integrate AI solutions into scalable production systems.
• Research and evaluate emerging AI technologies and methodologies to ensure innovative application.
• Develop and maintain data pipelines and datasets necessary for training and validating AI models.
• Optimize AI models for performance, scalability, and resource efficiency.
• Troubleshoot and resolve issues related to AI systems in collaboration with the engineering team.
• Contribute to the documentation and knowledge sharing of AI development best practices within the team.

Skills

Python

ML algorithms

NLP

CV

TensorFlow

PyTorch

Cross-functional teamwork

Analytical thinking

Education

Bachelor’s or Master’s in CS/AI/ML or related field

Tools

TensorFlow

PyTorch

Python

Job description

Nintex is seeking a highly skilled and motivated AI Engineer to join our innovative team. As an AI Engineer at Nintex, you will play a crucial role in designing, developing, and deploying cutting-edge artificial intelligence solutions that drive intelligent automation and transform business processes. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to build scalable AI systems that enhance our platform’s capabilities. The ideal candidate is passionate about AI technologies, has a deep understanding of machine learning algorithms, natural language processing, and computer vision, and is eager to apply these skills to solve real-world challenges. At Nintex, we foster a dynamic and inclusive culture that encourages continuous learning and professional growth. Joining our team means working in an environment that values innovation, creativity, and collaboration. If you have a strong background in AI development and want to make a significant impact by creating intelligent solutions that empower businesses worldwide, we would love to hear from you. This is your opportunity to be part of a forward-thinking company dedicated to redefining workflow automation through advanced AI technologies.

Responsibilities

• Design, develop, and implement AI models and algorithms to enhance Nintex’s workflow automation platform.
• Collaborate with data scientists and engineers to integrate AI solutions into scalable production systems.
• Research and evaluate emerging AI technologies and methodologies to ensure innovative application.
• Develop and maintain data pipelines and datasets necessary for training and validating AI models.
• Optimize AI models for performance, scalability, and resource efficiency.
• Troubleshoot and resolve issues related to AI systems in collaboration with the engineering team.
• Contribute to the documentation and knowledge sharing of AI development best practices within the team.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and deploying AI and machine learning models in a production environment.
• Strong programming skills in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or similar.
• Solid understanding of machine learning techniques including supervised, unsupervised, and reinforcement learning.
• Experience with natural language processing, computer vision, or other AI application domains is highly desirable.
• Ability to work collaboratively in a cross-functional team environment and communicate complex technical concepts effectively.
• Strong analytical, problem-solving, and critical-thinking skills with a passion for continuous learning and innovation.