Senior Machine Learning Engineer (Business Observability and Insights)

PLT Engineering; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading technology firm in Singapore seeks a Senior Machine Learning Engineer to design and deploy critical anomaly detection systems. The role involves collaborating with cross-functional teams to develop innovative solutions, ensuring robust performance in dynamic environments. The ideal candidate should have experience in machine learning techniques and a strong understanding of the software development lifecycle. This position offers the opportunity to influence the technical roadmap and enhance core Fulfilment Services.

Qualifications

• Experience designing and deploying large-scale anomaly detection systems.
• Strong understanding of ML techniques for diverse metrics.
• Ability to collaborate effectively in dynamic environments.

Responsibilities

• Design and deploy the anomaly detection and RCA platform.
• Develop core components for explainable interpretations of anomalies.
• Define the technical roadmap for the platform evolution.

Skills

Machine Learning techniques

Anomaly Detection

Root Cause Analysis

Software Development Lifecycle

Collaboration with Product Managers

Job description

Get to know the Role

The Senior Machine Learning Engineer will report into the Senior Engineering Manager and work onsite at Grab One North Singapore office. You'll focus on designing and deploying large-scale anomaly detection and root cause analysis systems critical to our core Fulfilment Services. You'll build a robust system that not only identifies business anomalies but also provides explainable interpretations. The system's output will include identifying the causes of these anomalies and offering actionable recommendations for their resolution or mitigation.

The Critical Tasks You Will Perform

• Design and deploy a large-scale, real-time Anomaly Detection and Root Cause Analysis (RCA) platform critical to core Fulfilment Services.
• Develop and architect the core components of the RCA system to provide explainable interpretations of anomalies, including identifying underlying causes and generating actionable recommendations for resolution or mitigation.
• Define and drive the technical roadmap for the evolution of the anomaly detection and root cause analysis platform in collaboration with the Tech Lead.
• Explore and implement state-of-the-art ML techniques to detect a variety of anomalies across different kinds of business and application performance metrics.
• Collaborate with Product Managers and Product Analysts to design intelligent anomaly detection systems that are robust in dynamic environments (e.g. holidays, events, natural disasters).
• Own the full software development lifecycle of the platform, including identifying and resolving performance bottlenecks, conducting service capacity/demand planning, software performance analysis, and participating in code/design reviews.