Senior ML Engineer — AI for E‑commerce & Production
GrabTaxi Holdings Pte. Ltd.
Petaling Jaya
On-site
MYR 120,000 - 160,000
Full time
14 days+
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Benefits offered by this job
Term Life Insurance
Comprehensive Medical Insurance
Parental and Birthday leave
GrabFlex benefits package
Confidential Grabber Assistance Programme
Job summary
A leading tech company in Petaling Jaya is seeking a Senior Machine Learning Engineer to lead impactful projects within their shopping ecosystem. Responsibilities include analyzing large datasets to improve user experience, developing predictive models, and collaborating with cross-functional teams to provide advanced data solutions. Candidates should have a Master's degree and extensive experience in data science, machine learning, and a strong technical background in Python or Scala. This role offers comprehensive benefits and a supportive work environment.
Qualifications
5+ years of experience as a Data Scientist, with proven record in E-commerce or Quick-Commerce.
Deep understanding of ML/DL, data mining, and optimization algorithms.
Experience with CI/CD principles for ML (MLOps).
Responsibilities
Analyze massive datasets to decode shopping patterns.
Develop production-grade AI models and oversee A/B testing.
Collaborate with Project Managers and Engineers on solutions.
Skills
Machine Learning
Data Science
AI Solutions Development
Python
Scala
Education
Master’s degree in Machine Learning, Statistics, Computer Science, Economics, or related field
Tools
TensorFlow
PyTorch
Spark
Flink
Kafka
Job description
A leading tech company in Petaling Jaya is seeking a Senior Machine Learning Engineer to lead impactful projects within their shopping ecosystem. Responsibilities include analyzing large datasets to improve user experience, developing predictive models, and collaborating with cross-functional teams to provide advanced data solutions. Candidates should have a Master's degree and extensive experience in data science, machine learning, and a strong technical background in Python or Scala. This role offers comprehensive benefits and a supportive work environment.