Senior Machine Learning Engineer (Business Observability and Insights)

PLT Engineering; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Senior Machine Learning Engineer to design and deploy a large-scale anomaly detection and root cause analysis platform. This role involves collaborating with Product Managers and developing systems that interpret business anomalies and propose actionable recommendations. Ideal candidates will have experience in software development and machine learning, and will work in a dynamic environment to enhance core services.

Qualifications

• Experience in designing and deploying real-time anomaly detection systems.
• Strong understanding of machine learning techniques.
• Ability to collaborate effectively with diverse teams.

Responsibilities

• Design and deploy a large-scale Anomaly Detection platform.
• Develop a system providing explainable interpretations of anomalies.
• Collaborate with Product Managers to design robust systems.

Skills

Machine Learning

Anomaly Detection

Root Cause Analysis

Software Development

Performance Analysis

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.