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Algorithm Engineer / Machine Learning Engineer

External
DADACONSULTANTS PTE. LTD. logoDadaconsultants · Singapore
S$84K–S$144K/yrFull-timeUnknownToday
A/B TestingCross-functional CollaborationFeature EngineeringForecastingMachine LearningMove
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About the role

A NYSE-listed freight matching platform with proven unit economics - profitable, well-capitalised, and now building its global hub in Singapore. We connect shippers and drivers through intelligent algorithms, asset-light, at scale. Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement. EA Registration Number: R2197058 Business Registration Number: 201735941W. Licence Number: 18S9037 www.dadaconsultants.com

Responsibilities

  • Own the full ML lifecycle for our core matching and transaction algorithms - from data processing and feature engineering to model training, deployment, and monitoring
  • Iterate on supply-demand matching models, marketing algorithms, and pricing strategies to drive continuous improvement in platform metrics
  • Go deep into product and business data to identify model gaps, propose improvements, and drive them to production
  • Stay close to frontier research and apply relevant advances to real business problems

Requirements

  • 2-5 years of experience in algorithm engineering, with hands-on work in search, recommendation, advertising, or matching systems
  • Strong foundations in machine learning - understanding of model design, training, and evaluation
  • Proficiency in Python and mainstream ML/DL frameworks (PyTorch, TensorFlow, etc.)
  • Experience with the full model development lifecycle: data, features, training, deployment, A/B testing
  • Plus: experience in causal inference, time-series forecasting, spatio-temporal modeling, reinforcement learning, or operations research
  • Strong analytical mindset, high data sensitivity, and the ability to connect algorithm work to business outcomes
  • Good communication and cross-functional collaboration skills
  • If it sounds like your next move, please don't hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

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