MLOps Data Scientist: Production ML & RL for Personalization

HKT; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

HKT’s Data Monetisation Team is seeking a highly capable Data Scientist or Senior Data Scientist specializing in MLOps to design, deploy, and manage scalable end-to-end machine learning systems for production-ready AI that drives business operations and decision-making.

The role emphasizes building and deploying robust ML pipelines, monitoring model performance, and ensuring security and compliance within a cloud-enabled infrastructure, with responsibility for data-driven customer insights at

Qualifications

• Master’s degree or PhD in Statistics, ML, Mathematics, CS, Economics or related field.
• 5+ years data science experience, with leadership in implementing data science models and driving business performance.
• Strong proficiency in Python and SQL, and experience with ML tooling and MLOps.

Responsibilities

• Assist Lead Data Scientist in building and maintaining end-to-end ML pipelines.
• Deploy machine learning models into production environments.
• Automate model training, testing, validation, and deployment workflows.
• Monitor model performance, data drift, and system reliability.
• Manage model versioning, experiment tracking, and reproducibility.
• Ensure scalability, security, and compliance with ML infrastructure.
• Troubleshoot production issues across data, models, and infrastructure.

Skills

MLOps

Python

SQL

NLP

Reinforcement Learning

Education

Master's or PhD in quantitative field

Tools

Hadoop

Spark

AWS

Azure

GCP

MLflow

Job description

HKT’s Data Monetisation Team is seeking a highly capable Data Scientist or Senior Data Scientist specializing in MLOps to design, deploy, and manage scalable end-to-end machine learning systems for production-ready AI that drives business operations and decision-making.

The role emphasizes building and deploying robust ML pipelines, monitoring model performance, and ensuring security and compliance within a cloud-enabled infrastructure, with responsibility for data-driven customer insights at