Senior AI/ML Engineer - Logistics Platform

PDR Insurance Agency, LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Our client, a high-growth international digital freight and logistics tech platform, is building its global hub in Singapore. Join an agile team designing high-concurrency, cross-border infrastructure from scratch.

You will own end-to-end ML systems, from routing and pricing to data pipelines and model deployment, with a stack centered on PyTorch/TensorFlow and Python/C++.

The role emphasizes cross-border localization and collaboration with global centers to tailor algorithms to varied markets.

Qualifications

• Bachelor’s degree or higher in a quantitative discipline (CS, math, OR, stats). PhD or Master’s is a strong plus.
• 2+ years of commercial experience in applied machine learning and algorithm design.
• Domain competencies in at least two fields: Geospatial data, time-series analysis, optimization/RL, causal inference.

Responsibilities

• Oversee end-to-end design of automated platform allocation logic, intelligent supply routing, and real-time valuation models.
• Drive data pipelines and model deployment using Spark/Flink; develop robust production-grade solutions.
• Analyze platform logs to identify friction points and optimize models to boost conversion and efficiency.
• Collaborate with global centers to adapt and scale core algorithms for diverse international markets.

Skills

Geospatial Data Engineering

Time-Series Analysis

Mathematical Optimization

Reinforcement Learning

Statistical Causal Inference

Uplift Modeling

Python

Education

Bachelor’s degree or higher in a quantitative discipline

Tools

PyTorch

TensorFlow

C++

Java

Golang

Job description

Our client, a high-growth international digital freight and logistics tech platform, is building its global hub in Singapore. Join an agile team designing high-concurrency, cross-border infrastructure from scratch.

You will own end-to-end ML systems, from routing and pricing to data pipelines and model deployment, with a stack centered on PyTorch/TensorFlow and Python/C++.

The role emphasizes cross-border localization and collaboration with global centers to tailor algorithms to varied markets.