Hiring AI / ML Engineer for Leading Client in Malaysia, KL

Hiring AI / ML Engineer for Leading Client in Malaysia, KL

Location           : Kuala Lumpur (On-site/Hybrid)
Experience      : 3+ Years

Nationality      : Malaysians

About the Role

We are seeking a highly skilled AI / ML Engineer to design, develop, and deploy intelligent applications leveraging Artificial Intelligence, Machine Learning, and Generative AI technologies. This role involves building scalable, production-ready pipelines across cloud and on-premises environments while driving innovation through advanced analytics and AI models.

You will act as a subject matter expert, collaborating across teams, influencing key decisions, and ensuring high-quality delivery of AI-driven solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML models for real-world applications
• Build and maintain production-ready data and ML pipelines (cloud/on-premises)
• Apply Generative AI techniques including deep learning, neural networks, chatbots, and image processing
• Lead the architecture and implementation of scalable machine learning solutions
• Collaborate with cross-functional teams to integrate AI solutions into existing systems
• Analyze complex datasets to uncover insights and support strategic decision-making
• Ensure model performance, scalability, and reliability
• Guide and mentor team members, fostering a collaborative and learning-driven environment
• Contribute to technical decision-making and solution design
• Continuously improve development processes, standards, and delivery quality

Technology Stack

• AI/ML: Machine Learning, Deep Learning, Neural Networks
• Generative AI: LLMs, Chatbots, NLP, Image Processing
• Data Platforms: Databricks
• Analytics: Data Analytics, Data Science
• Cloud: Azure / AWS / GCP (preferred)

Required Skills

• Expert-level proficiency in Machine Learning (ML)
• Strong experience in Artificial Intelligence (AI) and Data Science
• Hands-on experience with Databricks platform
• Experience in building scalable ML pipelines and production systems
• Strong understanding of data analytics and modeling techniques
• Ability to work in a lead/ownership role across teams

• Experience with Generative AI / LLM-based solutions
• Strong background in data engineering and analytics
• Experience in cloud-based AI services
• Exposure to MLOps and DevOps practices

• Work on next-generation AI and Generative AI solutions
• Opportunity to lead and influence enterprise-scale AI initiatives
• Exposure to modern tools like Databricks and cloud AI platforms
• Collaborative and innovation-driven environment
• Salary above market standard