Senior AI and Machine Learning Engineer

A leading financial institution in Kuala Lumpur is seeking a Senior Artificial Intelligence and Machine Learning Engineer to join their forward-thinking team. This is an exceptional opportunity for you to play a pivotal role in designing, training, and deploying AI/ML models that drive digital transformation across consumer and SME banking domains. You will be at the heart of experimentation and full-scale rollouts, ensuring alignment with robust data and cloud strategies.

What you'll do:

As a Senior Artificial Intelligence and Machine Learning Engineer based in Kuala Lumpur, you will take ownership of end-to-end AI/ML solution delivery—from initial design through training, validation, deployment, monitoring, and continuous improvement. Your day-to-day activities will involve collaborating with innovation partners to define use case logic grounded in real-world operational needs across banking domains. You will optimise model architectures for both performance and interpretability while ensuring all modelling activities comply with stringent data governance policies. By supporting post-MVP rollout processes—including version control, retraining pipelines, and feedback loops—you will help maintain high standards of accuracy and scalability. Your ability to work effectively with cross-functional teams such as Group Information Technology, Risk & Compliance, Business Units, system vendors, fintech partners, and academic institutions will be key to delivering impactful solutions that meet evolving business requirements.

• Build and train machine learning models using enterprise-grade platforms tailored to complex business challenges.
• Apply supervised, unsupervised, and reinforcement learning techniques based on specific use cases and available data sets.
• Optimise model architecture for performance, interpretability, and readiness for deployment in production environments.
• Work closely with innovation partners to translate operational needs into actionable AI use cases that deliver measurable business value.
• Define clear model objectives, input/output structures, and success metrics aligned with digital transformation goals.
• Conduct rigorous testing to assess model accuracy, precision, recall, and other relevant performance metrics for each project.
• Perform stress testing and scalability assessments to ensure models are robust enough for production-level data volumes.
• Document validation results thoroughly and iterate on models based on feedback from stakeholders and fellow engineers.
• Monitor post-deployment model performance and implement feedback loops for continuous improvement and learning.
• Collaborate with DevOps and data teams to maintain seamless integration of AI/ML solutions into existing production environments.

What you bring:

To excel as a Senior Artificial Intelligence and Machine Learning Engineer in this role, you will bring proven experience developing sophisticated machine learning solutions within enterprise settings. Your technical proficiency should span multiple ML paradigms—supervised, unsupervised, reinforcement—and include hands-on optimisation of model architectures for both performance metrics and interpretability. You are adept at translating operational challenges into actionable AI use cases through close collaboration with innovation partners. Your background includes rigorous testing methodologies for accuracy assessment as well as stress testing for scalability. You possess excellent documentation skills that facilitate transparent communication among stakeholders. Post-deployment monitoring is second nature to you; you understand how to implement effective feedback loops that drive continuous improvement. Integration into production environments is something you have managed successfully before—working alongside DevOps or data engineering colleagues. Finally, your comprehensive understanding of data governance ensures all modelling activities remain compliant with privacy regulations while maintaining auditability throughout the lifecycle.

• Demonstrated experience building machine learning models using enterprise-grade platforms such as TensorFlow or PyTorch within large organisations.
• Proficiency in applying supervised learning (classification/regression), unsupervised learning (clustering/dimensionality reduction), and reinforcement learning techniques based on business needs.
• Strong understanding of optimising model architecture for performance metrics including accuracy, interpretability, scalability, and deployment readiness.
• Ability to collaborate effectively with innovation partners to translate complex business challenges into practical AI use cases.
• Experience defining clear objectives for models along with input/output structures that align with organisational digital transformation goals.
• Track record of conducting thorough testing—accuracy assessment, precision/recall analysis—and performing stress tests for scalability under production conditions.
• Excellent documentation skills for validation results coupled with an iterative approach based on stakeholder feedback.
• Familiarity with post-deployment monitoring practices including feedback loop implementation for continuous learning.
• Hands-on experience integrating AI/ML solutions into production environments in partnership with DevOps or data engineering teams.
• Comprehensive knowledge of data governance standards including privacy controls, lineage tracking, auditability requirements, and secure infrastructure frameworks.

What sets this company apart:

This organisation stands out as one of Malaysia’s most respected financial institutions due to its unwavering commitment to technological advancement paired with responsible governance. Employees benefit from a culture rooted in collaboration—where teamwork across departments is encouraged—and supportive leadership that values every individual’s contribution. Flexible working opportunities allow staff members to balance personal commitments while pursuing professional growth through ongoing training programmes. The company’s dedication to inclusivity means everyone has the chance to share ideas freely regardless of background or experience level. By investing heavily in cutting-edge technologies like artificial intelligence and machine learning—and fostering partnerships with fintechs as well as academic institutions—the organisation remains at the forefront of industry innovation while prioritising security, compliance, transparency, and ethical standards throughout its operations.

Do note that we will only be in touch if your application is shortlisted.

Agensi Pekerjaan Robert Walters Sdn Bhd
Business Registration Number : 729828-T
Licence Number : JTKSM 423C