Machine Learning jobs in Malaysia

The incumbent will be a key driver of our engineering-driven culture and be responsible for designing and implementing strategic initiatives that leverage AI and Machine Learning to create self-healing, automated, and cloud-native operational systems, providing oversight on the enterprise architecture to align with AIA architecture governance. This is a hands-on leadership role for a technically proficient individual with the vision and negotiation skills, leading the team of solution analysts and DevOps engineers to champion change, eliminate manual processes, and foster a culture of collaboration across our engineering, DevOps, and Site Reliability Engineering (SRE) teams.

• Strategy & Leadership: Design and implement a multi-year strategy to automate and optimize IT operations using AI/ML-driven solutions, predictive analytics, and self-healing systems. Drive the cultural change towards a proactive, autonomous operations model and continuous delivery mindset. Evangelize and implement modern SRE practices across engineering teams.
• DevOps Implementation: Lead the organizational cultural transformation towards engineering-driven practices and DevOps excellence
• Process Transformation: Spearhead initiatives to eliminate traditional operations bottlenecks, automate manual processes, and establish new standards for operational efficiency and system reliability.
• Team Collaboration: Foster a collaborative and integrated environment across product engineering, DevOps, and Site Reliability Engineering (SRE) teams to ensure shared ownership and accountability for the full application lifecycle.
• Platform Modernization: Guide the evolution of our CI/CD pipelines, container orchestration on Kubernetes, and cloud-native infrastructure to support autonomous and proactive operations.
• Cultural Change: Act as a change agent within the organization, articulating the vision for an engineering-driven culture and using excellent communication and negotiation skills to build consensus and drive adoption of new methodologies.
• Hands-on Contribution: Remain deeply hands-on with the technology stack, actively contributing to architectural design, code reviews, and key technical decisions to ensure a seamless bridge between innovation and execution.

• A minimum of 10-15 years of deep Enterprise Architect, DevOps & SRE Experience: Extensive, hands-on experience in Enterprise Architect, DevOps and SRE principles, including CI/CD pipeline automation, infrastructure-as-code, and observability.
• AI/ML for Operations: Proven experience in designing or implementing AI/ML-driven solutions for IT operations, covering both infrastructure and application observability, such as log analysis, anomaly detection, and predictive maintenance.
• Modern Technology Stack: Strong practical experience with technologies:
• Languages: Java, NodeJs, Python
• Front-end: ReactJs
• Containerization & Orchestration: Docker and Kubernetes
• CI/CD: GitHub Actions, Bamboo, or similar tools
• Infrastructure as Code & Observability Tools: Terraform, CloudFormation, ELK, Dynatrace, Prometheus, Grafana, Datadog etc.
• Proficiency in scripting (Python, PowerShell)
• Cloud-Native Architecture: Expertise in designing and managing cloud-native systems, microservices architectures, and distributed systems.
• Experience with microservices architecture and APM/API management.
• Knowledge of security best practices and DevSecOps implementations.
• Ensure automated systems are complied with security, governance, and regulatory standards.
• Stability of system and services.
• Timely and quality deliverables.
• Good quality solution design by implementing different architecture pillars, such as security, scalability, maintainability, performance, etc.
• Architecture strategy, standards, patterns, governance, and audit reporting.
• Improvements on build automation leveraging CI/CD processes, automated testing, unit testing, code coverage and other software development best practices.
• Degree from a recognized University in Information Technology, Computer Science, Computer Engineering
• Certifications in AIOps, DevOps, AWS/Azure/GCP, ITIL, or related fields are a plus. GenAI certifications (e.g., NVIDIA, Google, Databricks) is highly desirable

• Requires in-depth experience, knowledge and skills in own discipline
• Uses best practices and knowledge of internal/external business issues to improve products or services
• Ability to work in high-pressure environment, troubleshoot complex issues across on-prem and cloud quickly, and successfully handle multiple priorities.
• Have systematic problem-solving approach, effective communications skills and have sense of ownership and drive.
• Works independently with minimal guidance
• Manage resource and ability to perform capacity planning
• Articulate and proficient in written and spoken English
• Applies best practices and knowledge of internal/external business issues to improve products or services in own discipline
• Has expertise in own discipline
• Solves moderately complex problems; takes a new perspective on existing solutions
• Interprets customer needs, assesses requirements and identifies solutions to non-standard requests
• Explains information and persuades others in straightforward situations
• Makes decisions for own work priorities and allocation of time to meet deadlines
• Is accountable for technical contribution to project team or sub-team
• Builds awareness of costs related to own work
• This incumbent will be reporting to CTO and manage 10 – 15 team members.